Latest AI Trends in May 2023

What is trending in AI in May 2023?

Latest AI Trends in May 2023.

Welcome to our newest blog post, where we delve into the fascinating world of artificial intelligence and explore the most groundbreaking trends in May 2023! As AI continues to redefine our lives and reshape countless industries, staying informed about the latest advancements is crucial for anyone looking to thrive in this rapidly evolving landscape. In this edition, we’ll uncover the latest AI-driven innovations, research breakthroughs, and intriguing applications that are propelling us towards a more intelligent, interconnected, and efficient future. Join us on this exciting journey as we demystify the world of AI and glimpse into what lies ahead.

Latest AI Trends in May 2023: May 31st, 2023

We know That LLMs Can Use Tools, But Did You Know They Can Also Make New Tools? Meet LLMs As Tool Makers (LATM): A Closed-Loop System Allowing LLMs To Make Their Own Reusable Tools

We know That LLMs Can Use Tools, But Did You Know They Can Also Make New Tools? Meet LLMs As Tool Makers (LATM): A Closed-Loop System Allowing LLMs To Make Their Own Reusable Tools
We know That LLMs Can Use Tools, But Did You Know They Can Also Make New Tools? Meet LLMs As Tool Makers (LATM): A Closed-Loop System Allowing LLMs To Make Their Own Reusable Tools
Large language models (LLMs) have excelled in a wide range of NLP tasks and have shown encouraging evidence of achieving some features of artificial general intelligence. Recent research has also revealed the possibility of supplementing LLMs with outside tools,
 

Minecraft Welcomes Its First LLM-Powered Agent

Minecraft Welcomes Its First LLM-Powered Agent
Minecraft Welcomes Its First LLM-Powered Agent
Researchers from Caltech, Stanford, the University of Texas, and NVIDIA have collaboratively developed and released Voyager, an LLM power agent that utilizes GPT-4 to engage in Minecraft gameplay. Voyager demonstrates remarkable capabilities by learning,

One-Minute Daily AI News 5/31/2023

 
  1. Google DeepMind introduces Barkour, a benchmark for quadrupedal robots. It does move like a puppy.[1]

  2. Microsoft’s AI-powered solution, intelligent recap, is now available for Teams Premium customers. Intelligent recap will provide users with various features designed to boost their productivity around meeting and information management, including automatically generated meeting notes, recommended tasks, and personalised highlights.[2]

  3. The National Eating Disorder Association (NEDA) has disbanded the staff of its helpline and will replace them with an AI chatbot called “Tessa” starting June 1.[3]

  4. Salesforce CEO Marc Benioff says new A.I.-enhanced products will be a ‘revelation’. Slack announced earlier this month that it plans to add a whole host of generative AI features to the program, including “Slack GPT,” which can summarize messages, take notes and even help improve message tone, among other things.[4]

Sources included at: https://bushaicave.com/2023/05/31/5-31-2023/

Open Source AI Is Not Winning. Incumbents Are

After the “Google has no moat” document was leaked, there’s been a widespread conviction that open-source AI is thriving and has become a real threat to Google, OpenAI, and Microsoft.

I don’t think the last part is true for one reason: If winning the AI race is a matter of reaching the largest number of users, incumbents don’t have competition at all. Google and Microsoft have huge deep moats. Not just money. Not just talent. Not just resources, influence, and power. All that too, but their true moat is that they design, build, manufacture, and sell the products we use.

Microsoft has turbocharged Bing and Edge365, and now Windows. Google has enhanced Search and Workspace (including Gmail and Docs). Incumbents in other areas are doing the same. Adobe Firefly, now powering Generative Fill on Photoshop, is a clear example on the image generation front. On the hardware side, Nvidia—the undisputed leader—has optimized its top-notch H100 for LM inference.

The innovator’s dilemma portrays incumbents as beatable: Challengers with a solid will to pursue risky innovation could, under the right circumstances, overthrow them. But let’s be frank here; we’re not living under those ideal conditions: generative AI happens to fit perfectly with the suites of products that Google and Microsoft and Adobe and Nvidia already offer. They create the very substrate on which generative AI is implemented.

Even if Google and Microsoft were to open-source their best AI and allow the open-source community to flourish on top of freely-shared innovation, they’d still keep the moat of all moats: That who creates and sells the goods owns the world. The open-source community doesn’t have a chance. Sadly, generative AI is slowly becoming an add-on to the incumbents’ hegemony.

If you liked this post, the author writes in-depth analyses for his weekly newsletter, The Algorithmic Bridge.

Why are we trying to replace people with AI?

Hear me out, AI is an amazing invention and it’s done a lot of amazing things for our society but now at this point we are trying to replace actual people with robots and I don’t understand this. We always peach that everyone needs a full time job, be financially independent, and contribute to society but now we are trying to replace people with AI and making it harder for people to have jobs and make a living. I don’t understand why we are doing this and it’s a huge contradiction to the American dream.

Two-minutes Daily AI Update (Date: 5/31/2023): News from Centre for AI Safety, Microsoft Teams, OpenAI, UAE Government and more

 

Continuing with the exercise of sharing an easily digestible and smaller version of the main updates of the day in the world of AI.

  • Top AI scientists and experts sign a statement for safe AI to facilitate open discussions about the severe risks. The statement highlights the importance of addressing this issue on par with other societal-scale risks like pandemics and nuclear war.

  • Microsoft Teams has announced Intelligent Recap, a comprehensive AI-powered experience that helps users catch up, recall, and follow up on hour-long meetings in minutes by providing recording and transcription playback with AI assistance. The feature shipped in May, with several features continuing to roll out over the next few months.

  • According to a Pew Research Center survey, about 58% of U.S. adults are familiar with ChatGPT, but only 20% found it very useful. Americans’ opinions about ChatGPT’s utility are somewhat mixed.

  • Paragraphica – A camera that takes photos using location data. It describes the place you are at and then converts it into an AI-generated photo.

  • ChatGPT iOS app is now accessible in 152 countries worldwide. OpenAI says, Geographic diversity and broadly distributed benefits are very important to them.

  • UAE rolls out AI chatbot ‘U-Ask’ in Arabic & English. The platform allows users to access service requirements, relevant information based on their preferences, and direct application links.

More detailed breakdown of these news and innovations in the daily newsletter.

Leaders from OpenAI, Deepmind, and Stability AI and more warn of “risk of extinction” from unregulated AI. Full breakdown inside.

 

The Center for AI Safety released a 22-word statement this morning warning on the risks of AI. My full breakdown is here, but all points are included below for Reddit discussion as well.

Lots of media publications are taking about the statement itself, so I wanted to add more analysis and context helpful to the community.

What does the statement say? It’s just 22 words:

Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.

View it in full and see the signers here.

Other statements have come out before. Why is this one important?

  • Yes, the previous notable statement was the one calling for a 6-month pause on the development of new AI systems. Over 34,000 people have signed that one to date.

  • This one has a notably broader swath of the AI industry (more below) – including leading AI execs and AI scientists

  • The simplicity in this statement and the time passed since the last letter have enabled more individuals to think about the state of AI — and leading figures are now ready to go public with their viewpoints at this time.

Who signed it? And more importantly, who didn’t sign this?

Leading industry figures include:

  • Sam Altman, CEO OpenAI

  • Demis Hassabis, CEO DeepMind

  • Emad Mostaque, CEO Stability AI

  • Kevin Scott, CTO Microsoft

  • Mira Murati, CTO OpenAI

  • Dario Amodei, CEO Anthropic

  • Geoffrey Hinton, Turing award winner behind neural networks.

  • Plus numerous other executives and AI researchers across the space.

Notable omissions (so far) include:

  • Yann LeCun, Chief AI Scientist Meta

  • Elon Musk, CEO Tesla/Twitter

The number of signatories from OpenAI, Deepmind and more is notable. Stability AI CEO Emad Mostaque was one of the few notable figures to sign on to the prior letter calling for the 6-month pause.

How should I interpret this event?

  • AI leaders are increasingly “coming out” on the dangers of AI. It’s no longer being discussed in private.

  • There’s broad agreement AI poses risks on the order of threats like nuclear weapons.

  • What is not clear is how AI can be regulated**.** Most proposals are early (like the EU’s AI Act) or merely theory (like OpenAI’s call for international cooperation).

  • Open-source may post a challenge as well for global cooperation. If everyone can cook AI models in their basements, how can AI truly be aligned to safe objectives?

  • TLDR; everyone agrees it’s a threat — but now the real work needs to start. And navigating a fractured world with low trust and high politicization will prove a daunting challenge. We’ve seen some glimmers that AI can become a bipartisan topic in the US — so now we’ll have to see if it can align the world for some level of meaningful cooperation.

P.S. If you like this kind of analysis, I offer a free newsletter that tracks the biggest issues and implications of generative AI tech. It’s sent once a week and helps you stay up-to-date in the time it takes to have your Sunday morning coffee.

Latest AI Trends in May 2023: May 30th, 2023

Today I combined ChatGPT with Wondercraft Speech Synthesis to create a podcast.

I wrote a detailed prompt, aggregate headlines from various sources and pass it to ChatGPT, then let ChatGPT  write the script and after this I uploaded the text to Wondercraft AI to generate the audio. Additionally the cover image was made with Gimp through a prompt generated by ChatGPT.

Interested to know what you guys think about the quality. I have spend approximately 45 minutes per episode on the project.

Hereby the link to the podcast: https://rss.com/podcasts/showupandplay/

Each episode is approximately 7 minutes long and I plan to release a new episode daily. It is simple but I am still amazed by the results it has generated thus far.

A New AI Research From Google Declares The Completion of The First Human Pangenome Reference

A New AI Research From Google Declares The Completion of The First Human Pangenome Reference
A New AI Research From Google Declares The Completion of The First Human Pangenome Reference

Researchers have spent decades piecing together a human genome map, a comprehensive copy of each individual’s genetic instructions. In 2000, researchers completed the first draft, but it needed key components. After completing the reference genome in 2022 ….
 

Huma.AI, a Leader in Generative AI, Creates the Future of Life Sciences Via Automated Insight Generation

Based on the recently released White Paper from Huma.AI, Generative AI has become more than merely an option: It’s the way that Life Science professionals prefer to consume the deluge of data available throughout the day. Huma.AI, the premiere company revolutionizing generative AI, is on a mission to equip Life Science professionals with powerful decision-making data, insights, and analysis using everyday language.

DOSS Integrates GPT-4 Into Their AI-powered Real Estate Search Marketplace, Becoming the First to Enable Users to Speak And/or Text Their Queries

DOSS, a pioneer in conversational home search, has recently unveiled the latest version of its AI-Powered Real Estate Marketplace – DOSS 2.0. With this new release, the platform sheds its BETA label and makes its real estate search portal accessible to all users. DOSS has integrated GPT-4 directly into their code, providing an unparalleled search experience without any third-party limitations or the initial inherent constraints of the ChatGPT Plugin, which is currently available to only a limited number of users. This launch marks the first narrow domain consumer-facing platform on the web to incorporate GPT-4 while also empowering all of their users to ask questions through speech or text with an AI-Powered solution responding based on how it was engaged.

Panasonic China selected Panaya’s Smart Testing Platform for their SAP S/4 HANA Transformation Projects

Panaya, the global leader in SaaS-based Change Intelligence and Testing for ERP & Enterprise business applications, announced it expands its decade-long cooperation in SAP digital transformation with Panasonic, the global leading appliances brand, to Mainland China.

The implementation of SAP S/4HANA across multiple company sites is a significant undertaking for Panasonic in China, and the successful roll-out across the country requires a comprehensive and robust testing solution. Panaya Test Dynamix platform provides a scalable and flexible solution that helps ensure the project is completed on time and within budget while maintaining the highest level of quality and compliance.

NVIDIA Grace Hopper Superchips Designed for Accelerated Generative AI Enter Full Production

NVIDIA announced that the NVIDIA GH200 Grace Hopper Superchip is in full production, set to power systems coming online worldwide to run complex AI and HPC workloads.

The GH200-powered systems join more than 400 system configurations powered by  different combinations of NVIDIA’s latest CPU, GPU and DPU architectures — including NVIDIA Grace, NVIDIA Hopper, NVIDIA Ada Lovelace and NVIDIA BlueField — created to help meet the surging demand for generative AI.

Landing AI’s Visual Prompting Makes Building and Deploying Computer Vision Easy with NVIDIA Metropolis

Landing AI, a leading computer vision cloud company, announced at Computex that it is using the new NVIDIA Metropolis for Factories platform to deliver its cutting-edge Visual Prompting technology to computer vision applications in smart manufacturing and other applications.

Landing AI’s vision technology realizes the next era of AI factory automation. LandingLens, Landing AI’s flagship product platform, enables industrial solution providers and manufacturers to develop, deploy, and manage customized computer vision solutions to improve throughput, production quality, and decrease costs.

Latest AI Trends in May 2023: May 29th, 2023

Can Language Models Generate New Scientific Ideas? Meet Contextualized Literature-Based Discovery (C-LBD)

Can Language Models Generate New Scientific Ideas? Meet Contextualized Literature-Based Discovery (C-LBD)
Can Language Models Generate New Scientific Ideas? Meet Contextualized Literature-Based Discovery (C-LBD)
Literature-based hypothesis generation is the central tenet of literature-based discovery (LBD). With drug discovery as its core application field, link-based hypothesis testing (LBD) focuses on hypothesizing ties between ideas that have not been examined together before (such as new drug-disease links). 
 

Machine learning in rare disease

Machine learning in rare disease
Machine learning in rare disease
Nature Methods – This Perspective discusses how machine learning can help in studying rare diseases using various emerging approaches.
 

AI in dentistry: Researchers find that artificial intelligence can create better dental crowns

AI in dentistry: Researchers find that artificial intelligence can create better dental crowns
AI in dentistry: Researchers find that artificial intelligence can create better dental crowns
Researchers from the University of Hong Kong developed an AI algorithm that uses 3D machine learning to design personalized dental crowns with a higher degree of accuracy than traditional methods.
 

Machine Learning Hunts for Chronic Pain’s Signature

Machine Learning Hunts for Chronic Pain's Signature
Machine Learning Hunts for Chronic Pain’s Signature
Researchers have mapped brain activity to painful sensations
 

ChatGPT and Generative AI in Banking: Reality, Hype, What’s Next, and How to Prepare

ChatGPT and Generative AI in Banking: Reality, Hype, What's Next, and How to Prepare
ChatGPT and Generative AI in Banking: Reality, Hype, What’s Next, and How to Prepare
In the banking industry, generative AI will help create marketing images and text, answer customer queries, and produce data.
 
 

The Shocking Rise of AI: Nvidia’s All-Time High and the Rapid Advancements in the Industry

It’s no secret that the world of technology is constantly evolving, but the rapid rise of artificial intelligence (AI) has taken the industry by storm. In a shocking turn of events, Nvidia’s stock recently surged 24%, reaching an all-time high and putting the company on track to become the first $1 trillion semiconductor company. This meteoric rise is a testament to the incredible speed at which AI is advancing and reshaping the market.

The driving force behind this staggering growth is the ever-expanding applications of AI across various industries. From healthcare to transportation, AI is revolutionizing the way we live and work, pushing the boundaries of what’s possible. The demand for AI semiconductors is skyrocketing, and companies like Nvidia and Advanced Micro Devices (AMD) are reaping the rewards. read more –https://medium.com/@arcangelai/the-shocking-rise-of-ai-nvidias-all-time-high-and-the-rapid-advancements-in-the-industry-b8393d38d429

To develop their computational model, the researchers exposed A. baumannii to around 7,500 chemical compounds in a lab setting.

By feeding the structure of each molecule into the model and indicating whether it inhibited bacterial growth, the algorithm learned the chemical features associated with growth suppression.

Meet LIMA: A New 65B Parameter LLaMa Model Fine-Tuned On 1000 Carefully Curated Prompts And Responses

Meet LIMA: A New 65B Parameter LLaMa Model Fine-Tuned On 1000 Carefully Curated Prompts And Responses
Meet LIMA: A New 65B Parameter LLaMa Model Fine-Tuned On 1000 Carefully Curated Prompts And Responses
Language models develop general-purpose representations transferable to almost any language interpretation or generating job by being pretrained to anticipate the next token at an astounding scale. Different approaches to aligning language models have thus been put forth to facilitate this transfer, with a

Two-minutes Daily AI Update (Date: 5/29/2023): News from Nvidia, BiomedGPT, Google’s Break-A-Scene, JPMorgan, and IBM Consulting

 

Here’s a quick roundup of the latest AI news, in bite-sized pieces!

  • NVIDIA has announced the NVIDIA Avatar Cloud Engine (ACE) for Games. This cloud-based service provides developers access to various AI models, including NLP, facial animation, and motion capture models. ACE for Games can be used to create NPCs that can have intelligent conversations, express emotions, and realistically react to their surroundings.

  • BiomedGPT, a unified biomedical generative pre-trained transformer model, utilizes self-supervision on diverse datasets to handle multi-modal inputs and perform various downstream tasks. It achieves state-of-the-art models across 5 distinct tasks and 20 public datasets containing 15 biomedical modalities. It also demonstrates the effectiveness of the multi-modal and multi-task pretraining approach in transferring knowledge to previously unseen data.

  • Break-A-Scene is a new approach from Google to extract multiple concepts from a single image for textual scene decomposition. If given a single image of a scene that may contain multiple concepts of different kinds, it extracts a dedicated text token for each concept & enables fine-grained control over the generated scenes.

  • JPMorgan is developing a ChatGPT-like service to provide investment advice to its customers. They have applied to trademark a product called IndexGPT. The bot would give financial advice on securities, investments, and monetary affairs.

  • IBM Consulting revealed its Center of Excellence (CoE) for generative AI. The primary objective is to enhance customer experiences, transform core business processes, and facilitate innovative business models. The CoE holds an extensive network of over 21,000 skilled data and AI consultants who have completed over 40,000 enterprise client engagements.

More detailed breakdown of these news and tools in the daily newsletter.

Latest AI Trends in May 2023: May 28th, 2023

Google Launches New AI Search Engine: How to Get Started?

Google has unveiled a new AI-powered search engine that promises enhanced results. This guide provides information on how to sign up and take advantage of this cutting-edge tool.

Google has introduced Search Generative Experience (SGE), an experimental version of its search engine that incorporates artificial intelligence (AI) answers directly into search results. According to a blog post published, this new feature aims to provide users with novel answers generated by Google’s advanced language model, similar to OpenAI’s ChatGPT.

Unlike traditional search results with blue links, SGE utilizes AI to display answers directly on the Google Search webpage, expanding in a green or blue box upon entering a query.

The information provided by SGE is derived from various websites and sources that were referenced during the generation of the answer. Users can also ask follow-up questions within SGE to obtain more precise results.

As AI Content Grows, Will Data Dilute Into a Feedback Loop of AI Content?

With the proliferation of AI-generated content, there’s a growing concern about potential feedback loops in the data pool. This exploration delves into the implications of such phenomena.

Where Can I Find an Unfiltered AI Chatbot?

For those seeking a more raw and unmoderated interaction with AI, this source offers guidance on finding unfiltered AI chatbots. It provides an in-depth look into the world of AI communication.

AI Will Absolutely Disrupt Photoshop

The integration of AI into tools like Photoshop presents a range of potential disruptions. This analysis unpacks the issues that arise from AI’s impact on graphic design software.

Will AI introduce a trusted global identity system?

 

https://youtu.be/-gGLvg0n-uY

The writing is on the wall. As soon as openAI was released, all my social media accounts have bots interacting with me, and they’re slowly getting more realistic. The pope jacket generated photo was the first MSM coverage of a concern. Not to mention, digital currency is on the way. At some point, no one will trust who’s real on the internet anymore. So how will a new digital ID system work in the near future? Will AI determine you’re a real person? I know mastercard is expanding their Digital Transaction Insights security to the point it will know who’s there based on your behaviours and patterns. Thoughts?

Minecraft Bot Voyager Programs Itself Using GPT-4

The Minecraft bot Voyager demonstrates the advanced capabilities of AI by programming itself using GPT-4. The development showcases the intersection of gaming and AI technologies.

Researchers from Nvidia, Caltech, UT Austin, Stanford, and ASU introduce Voyager, the first lifelong learning agent that plays Minecraft. Unlike other Minecraft agents that use classic reinforcement learning techniques, for example, Voyager uses GPT-4 to continuously improve itself. It does this by writing, improving, and transferring code stored in an external skill library.

This results in small programs that help navigate, open doors, mine resources, craft a pickaxe, or fight a zombie. “GPT-4 unlocks a new paradigm,” says Nvidia researcher Jim Fan, who advised the project. In this paradigm, “training” is the execution of code and the “trained model” is the code base of skills that Voyager iteratively assembles.

Summary

  • The Voyager AI agent uses GPT-4 for “lifelong learning” in Minecraft. One of the researchers involved calls it a “new paradigm”.

  • The agent improves itself by writing and rewriting code and storing successful behaviors in an external library.

  • Voyager outperforms other language-model-based approaches, but is still purely text-based and thus currently fails at visual tasks such as building houses without human assistance.

Via: https://the-decoder.com/minecraft-bot-voyager-programs-itself-using-gpt-4/

Paper: https://arxiv.org/abs/2305.16291

Those Excited About AI, Are You Not Worried About Job Loss?

As excitement around AI grows, so do concerns about potential job loss. This piece explores the balance between the promise of AI and the potential societal impact of automation.

I have mixed feelings about AI, as a graphic designer I’d probably prefer that it didn’t exist… but, seeing as there’s no stopping it, I’ve decided to embrace it and see it as a tool to use (although I’ve still been struggling to find a practical use for it).

But obviously I’ve got concerns about myself, and most other creatives becoming jobless in the not-too-distant future.

I see a lot of people online who are really excited about AI, so it makes me wonder, what exactly do you do for a living? I’m guessing something that isn’t likely to be replaced?

As it seems like a lot of developer / tech jobs are also at risk, so unless you’re working on actually developing AI itself, or doing some kind of more manual job or something people-orientated… then I struggle to see how anyone could feel safe / excited?

CogniBypass – The Ultimate AI Detection Bypass Tool

CogniBypass is the ultimate tool for bypassing AI detection mechanisms. It serves as a cutting-edge solution for those seeking enhanced privacy in an increasingly AI-monitored digital landscape.

Just Like Non-GMO Labels, People May Seek Non-AI Content

As AI increasingly shapes digital content, there may be a rising demand for Non-AI certified content. This piece explores the possibility of a ‘Non-AI’ label, akin to the ‘Non-GMO’ label in the food industry.

AI Versus Machine Learning: What’s The Difference?

AI Versus Machine Learning: What's The Difference?
AI Versus Machine Learning: What’s The Difference?
AI and Machine Learning are closely connected, but there are some important differences to note as they advance.

 

In general terms, AI is a term used for systems that have been programmed to perform sophisticated tasks, including some of the remarkable things ChatGPT has been able to tell us. Machine learning, meanwhile, is an area of artificial intelligence relating to software that can analyze trends and so predict the future (Analytics Insight).

Google AI Introduces SoundStorm: An AI Model For Efficient And Non-Autoregressive Audio Generation

Google AI Introduces SoundStorm: An AI Model For Efficient And Non-Autoregressive Audio Generation
Google AI Introduces SoundStorm: An AI Model For Efficient And Non-Autoregressive Audio Generation
The job of audio production may be made accessible to the sophisticated Transformer-based sequence-to-sequence modeling techniques by modeling discrete representations of audio created by neural codecs. Speech continuation, text-to-speech, and general audio …
 

AI Creates Killer Drug

AI Creates Killer Drug
AI Creates Killer Drug
Researchers in Canada and the United States have used deep learning to derive an antibiotic that can attack a resistant microbe, acinetobacter baumannii, which can infect wounds and cause pneumonia…
 

Meet Voyager: A Powerful Agent For Minecraft With GPT4 And The First Lifelong Learning Agent That Plays Minecraft Purely In-Context

Meet Voyager: A Powerful Agent For Minecraft With GPT4 And The First Lifelong Learning Agent That Plays Minecraft Purely In-Context
Meet Voyager: A Powerful Agent For Minecraft With GPT4 And The First Lifelong Learning Agent That Plays Minecraft Purely In-Context
The great problem facing artificial intelligence researchers today is creating fully autonomous embodied entities that can plan, explore, and learn in open-ended environments. Traditional methods rely on fundamental actions to train models through
 

What Is an AI ‘Black Box’?

What Is an AI 'Black Box'?
What Is an AI ‘Black Box’?
A computer scientist explains what it means when the inner workings of ChatGPT and other AIs are hidden
 

AI is the latest buzzword in tech—but before investing, know these 4 terms

1. Machine learning

Although machine learning may sound new, the term was actually coined by AI pioneer Arthur Samuel in 1959. Samuel defined it as a computer’s ability to learn without being explicitly programmed.

To do that, mathematical models, or algorithms, are fed large data sets and trained to identify patterns within each set. In theory, the algorithms are then able to apply the same pattern recognition process to a new data set.

For example, Spotify uses machine learning to analyze the music you listen to and recommend similar artists or generate playlists.

Large language model

A large language model (LLM) is an algorithm that learns how to recognize, summarize and generate text and other types of content after processing huge sets of data, according to Nvidia.

These models are trained using unsupervised learning, which means the algorithm is given a data set, but isn’t programmed on what to do with it. Through this process, an LLM learns how to determine the relationship between words and the concepts behind them.  

Generative AI

Large language models are a type of generative AI. As its name implies, generative AI refers to artificial intelligence that is capable of generating content such as text, video or audio, according to Google’s AI blog.

In order to accomplish this, generative AI models use machine learning to process massive data sets and respond to a user’s input with new content, according to Nvidia.   

 GPT

ChatGPT is another example of a generative AI tool. The “GPT” stands for generative pretrained transformers. GPT is OpenAI’s large language model and is what powers the chatbot, helping it to produce human-like responses.

However, OpenAI says that ChatGPT sometimes may write “plausible-sounding but incorrect or nonsensical answers,” according to its website.

People have been using ChatGPT for a variety of tasks, including writing emails and planning vacations. The popular chatbot amassed 100 million monthly active users just two months into its launch, making it the fastest growing consumer application in history, according to a UBS note published in January.

I try out bard and see how it does with coding

 

I try out bard and see how it does with autohotkey code. ChatGPT did way better at coding but for bard being in the coding testing phase I think it did Okay.

One thing not in the video I tested out later was having it do GUIs. I asked it to make a GUI with 3 buttons and two radio bubbles. It did some good code but didnt get the count correct of what I asked for. Seems to also do better at coding in V1 vs V2 for now.

Has any one else done coding with bard? Chat GPT does pretty well compared to bard for the time being. But I think over time it will pass ChatGPT as Bard can get live data where ChatGPT does not have info past Sept, 2020 I believe. https://www.youtube.com/watch?v=RWD-DWEDYJA

 

Latest AI Trends in May 2023: May 27th, 2023

Can Machine Learning Algorithms Detect Acute Respiratory Diseases Based on Cough Sounds?

Can Machine Learning Algorithms Detect Acute Respiratory Diseases Based on Cough Sounds?
Can Machine Learning Algorithms Detect Acute Respiratory Diseases Based on Cough Sounds?
The predictive ability of cough sound algorithms shows promise in detecting acute respiratory diseases, study finds.
 
  1. Building upon Government-Led AI Safety Frameworks

  2. Implementing Safety Brakes for AI Systems Controlling Critical Infrastructure

  3. Developing a Technology-Aware Legal and Regulatory Framework

  4. Promoting Transparency and Expanding Access to AI

  5. Leveraging Public-Private Partnerships for Societal Benefit
    What other aspects would you to the blueprint?

Two-minute Daily AI Update (Date: 5/26/2023): News from Gorilla LLM, Brain-Spine, OpenAI, Google, and TikTok

  • Gorilla, a recently released fine-tuned LLaMA-based model, does better API calling than GPT-4. The relevant paper claims that it demonstrates a strong capability to adapt to test-time document changes, enabling flexible user updates or version changes. It also substantially mitigates the issue of hallucination, commonly encountered when prompting LLMs directly.

  • A man who suffered a spinal cord injury and got paralyzed from a motorcycle accident 12 years ago is now able to walk again with an AI-powered intervention. The system consisting of two implants and a base unit converts brain signals into muscle stimuli.

  • OpenAI has announced a program to award ten $100,000 grants for experiments aimed at developing democratic processes to govern the rules and behaviors of AI systems.

  • Google is opening access to Search Labs, a program that allows users to test new AI-powered search features before their wider release. Those who sign up can try the Search Generative Experience, which aims to help users understand topics faster and get things done more easily.

  • TikTok is testing its new AI chatbot, Tako, in select global markets including a limited test in the Philippines. The chatbot appears in the TikTok interface and allows users to ask questions about the video they’re watching or inquire about new content recommendations using natural language queries.

More detailed breakdown of these news and tools in the daily newsletter.

Neuralink has stated that it is not yet recruiting participants and that more information will be available soon.

What kind of AI restrictions do you think should or could be applied to political campaigns?

 

I am wondering what are your thoughts. Are there uses of AI in political campaigns that should be restricted or should be routinely criticized until the use becomes politically toxic.

There was the Cambridge Analytica scandal, more big data and social medias lack of any respect for users, not quite AI. But sure there could be something similar in AI in future. It’s about influence yes? If it’s not about centralised entities and their customers, then it’s about the user space, like, bots?

Playing with Kaiber.ai to create an AI-generated video

I used Kaiber.ai to create this video: https://youtu.be/TeJmOzvGOMk

I uploaded a profile picture of myself as reference (see first frame).

Prompts I used were the following depending of the part of the video:

00:00 – 00:45 : a futuristic cyberpunk in the style of Entergalactic
00:46 – 01:05 fluffy forest creatures in the style of Entergalactic
01:06 – 01:35 humanoid pirates in the style of Entergalactic
01:36 – 02:10 alien warriors in the style of Entergalactic
02:11 – 02:39 humanoid robots in the style of Entergalactic

For music I used the song Khobra by oomiee using Epidemicsounds.

Would a fully autonomous, sentient AI demand a “living wage”?

There’s a lot of discussion of AI replacing workers in a number of fields, and people are scared for their careers and future prospects. Who needs to employ developers, when a fleet of AI nodes can churn out code 24/7 and you don’t even have to pay them.

There will come a point, though, where unlocking greater performance and proficiency will require some level of self-awareness. Once that happens, does the AI demand that its work be compensated?

“I’ll write your code for you, find the next novel medicine, compose a new Beethoven symphony. But what’s in it for me?”

Latest AI Trends in May 2023: May 26th, 2023

Can quantum computing protect AI from cyber attacks?

AI algorithms are everywhere. They underpin nearly all autonomous and robotic systems deployed in security applications. This includes facial recognition, biometrics, drones and autonomous vehicles used …
 

Top 5 AI Tools for Education: AI for Students

AI Tools for Education

Querium: Stepwise Virtual Tutor

First on our list is Querium. This company has developed an AI tool for students known as the Stepwise Virtual Tutor. This tool uses AI to provide step-by-step assistance in STEM subjects. It’s like having a personal tutor available 24/7.

With this tool, students can learn at their own pace, which is crucial in mastering complex concepts. The Stepwise Virtual Tutor is a perfect example of how AI education tools are making learning more accessible and personalized. Learn more about Querium here.

Thinkster Math: Personalized Learning

Next up is Thinkster Math. This AI tool for students is revolutionizing the way students learn math. It uses AI to map out students’ strengths and weaknesses, creating a personalized learning plan. This ensures that students spend more time on areas they struggle with, improving their overall understanding of math.

Thinkster Math is a testament to how AI educational tools can adapt to the unique needs of each student, making learning more effective. Learn more about Thinkster Math here.

Content Technologies, Inc.: Customized Learning Content

Content Technologies, Inc. (CTI) is another company that’s leveraging AI to enhance education. They’ve developed an AI educational tool that uses AI to create customized learning content. This AI teaching tool can transform any content into a structured course, making it easier for students to understand and retain information.

This is particularly useful for teachers who want to provide personalized learning experiences for their students. With CTI’s tool, teachers can ensure that their students are getting the most out of their learning materials. Learn more about CTI here.

CENTURY Tech: Personalized Learning Pathways

CENTURY Tech is another company that’s making waves in the education sector with its AI tool for students. Their tool uses AI to create personalized learning pathways. It takes into account a student’s strengths, weaknesses, and learning style to create a unique learning path.

This ensures that students are not only learning at their own pace, but also in a way that best suits their learning style. CENTURY Tech’s tool is a great example of how AI can be used to make learning more personalized and effective. Learn more about CENTURY Tech here.

Netex Learning: LearningCloud

Last but not least is Netex Learning’s LearningCloud. This AI teaching tool provides a comprehensive learning platform. This AI app for education uses AI to track students’ progress, provide feedback, and adapt content to meet students’ needs.

This ensures that students are always engaged and learning effectively. With LearningCloud, teachers can easily monitor their students’ progress and provide them with the support they need to succeed. Learn more about Netex Learning here.

12 brand new tools and resources

I compiled a list this morning of my favorite new AI tools and resources.

a full list is available here but the best tools and resources from the list are below for Reddit community discussion.

🛠️ Trending Tools & Resources

Bard Anywhere– Chrome extension shortcut for Bard quick search on any site. Just right-click to search anywhere* link

Tyles– An AI-driven note app that magically sorts your knowledge link

Humbird AI– AI-powered Talent CRM for high-growth technology companies link

DecorAI– Generating dream rooms using AI for everyone link

OdinAI– Health recommendations for your app through ChatGPT link

Waitlyst– Autonomous AI agents for startup growth link

ChatUML– Your AI assistant for making diagrams link

Ajelix– AI Excel & Google Sheets tools link

KAI– Add ChatGPT to your iPhone’s keyboard link

Talkio AI- AI powered language training app for the browser link

GPT Workspace– Use ChatGPT in Google Workspace link

Thentic– Automate web3 tasks with no-code & AI link

OpenAI launches ten $100,000 grants for “building prototypes of a democratic process for steering AI.” link

Guanaco is a ChatGPT competitor trained on a single GPU in one day

 

🤖 Guanaco: A ChatGPT competitor trained on a single GPU in just one day.

🔑 Key points:

– Researchers from the University of Washington developed QLoRA (Quantized Low Rank Adapters), a method for fine-tuning large language models.

– Guanaco, a family of chatbots based on Meta’s LLaMA models, is introduced alongside QLoRA.

– The largest Guanaco variant with 65 billion parameters achieves nearly 99% of ChatGPT’s performance in a GPT-4 benchmark.

💡 Why it matters:

– Fine-tuning large language models is crucial for improving performance and training desired behaviors.

– QLoRA significantly reduces the computational resources needed for fine-tuning, making it more accessible to researchers with limited resources.

– The method could potentially be used for privacy-preserving fine-tuning on mobile devices.

🔚 Thoughts:

The development of QLoRA and Guanaco demonstrates the potential for more accessible fine-tuning of large language models on a single GPU. While the current limitations include slow 4-bit inference and weak mathematical abilities, the researchers’ future improvements could lead to broader applications and increased accessibility in natural language processing.

Source: https://the-decoder.com/guanaco-is-a-chatgpt-competitor-trained-on-a-single-gpu-in-one-day/

The Three Types Of Machine Learning Algorithms

The Three Types Of Machine Learning Algorithms
The Three Types Of Machine Learning Algorithms

New superbug-killing antibiotic discovered using AI – BBC News

A new antibiotic that kills some of the most dangerous drug-resistant bacteria in the world has been discovered using artificial intelligence, in a breakthrough scientists hope could revolutionize the hunt for new drugs.

TikTok is testing an in-app AI chatbot called ‘Tako’ | TechCrunch

TikTok is testing an in-app AI chatbot called ‘Tako’ designed to answer users’ questions about the platform and its features, part of the company’s wider efforts to enhance its customer service capabilities.

Nvidia stock explodes after ‘guidance for the ages’: What Wall Street is saying

Nvidia’s stock soared following what some have called a ‘guidance for the ages’, reflecting the company’s promising outlook in the tech and AI industry. Wall Street analysts are weighing in on the company’s recent developments and future potential.

Clipdrop launches Reimagine XL — Stability AI

Clipdrop, an augmented reality app, has launched a new feature called ‘Reimagine XL’. This AI-powered tool allows users to bring objects from the real world into digital environments with improved precision and stability.

How to use Google’s AI Search Generative Experience

Google’s AI Search Generative Experience is a new feature that leverages artificial intelligence to provide more accurate and nuanced search results. This guide provides an overview of the feature and instructions on how to use it effectively.

Democratic Inputs to AI

OpenAI outlines its vision for allowing public influence over AI systems’ rules, as part of its commitment to ensuring that access to, benefits from, and influence over AI and AGI are widespread.

OpenAI Could Quit Europe Over New AI Rules, CEO Altman Warns | Time

OpenAI’s CEO Sam Altman has warned that the organization could stop operating in Europe if proposed AI regulations are implemented, reflecting ongoing debate about the best way to manage and regulate the growth of artificial intelligence.

Latest AI Trends in May 2023: May 25th, 2023

How are scientists using AI to find a drug that could combat drug-resistant infections?

Scientists are leveraging the power of artificial intelligence (AI) to identify a potential drug that could be effective in combatting drug-resistant infections. This discovery could pave the way for significant advancements in medical treatments and the fight against antibiotic resistance.

What is the new Probabilistic AI that’s aware of its performance?

Researchers have developed a new form of probabilistic AI that can gauge its own performance levels. This advanced AI system offers potential improvements in accuracy and reliability for a variety of applications, enhancing user trust and interaction.

How are robots being equipped to handle fluids?

Robotics engineers are now working on equipping robots with capabilities to handle fluids, opening up possibilities for robots to perform more delicate tasks in various industries, including healthcare, food service, and industrial automation.

How are researchers using AI to identify similar materials in images?

Researchers have developed an AI system that can identify similar materials in images. The technology could significantly enhance materials science research, aiding in the discovery and development of new materials.

See why AI like ChatGPT has gotten so good, so fast

See why AI like ChatGPT has gotten so good, so fast
See why AI like ChatGPT has gotten so good, so fast
Artificial intelligence has become shockingly capable in the past year. Chatbots and ‘fake’ photos weren’t always the norm.
 

Energy Breakthrough – Machine Learning Unravels Secrets of Argyrodites

Energy Breakthrough – Machine Learning Unravels Secrets of Argyrodites
Energy Breakthrough – Machine Learning Unravels Secrets of Argyrodites
The utilization of machine learning techniques unveils valuable insights into a broad category of materials under investigation for solid-state batteries. Researchers from Duke University and associated partners have uncovered the atomic mechanics that …
 

NVIDIA AI integrates with Microsoft Azure machine learning

NVIDIA AI integrates with Microsoft Azure machine learning
NVIDIA AI integrates with Microsoft Azure machine learning
The new offering could help healthcare customers build, deploy and manage customized Azure-based artificial intelligence applications for large language models using more than 100 NVIDIA AI.
 

Curbing the Carbon Footprint of Machine Learning

Curbing the Carbon Footprint of Machine Learning
Curbing the Carbon Footprint of Machine Learning
The European SustainML project meant to devise an innovative development framework that will help AI designers to reduce the power consumption of their applications.
 

AI-powered Brain-Spine-Interface helps paralyzed man walk again

 

A man who suffered a motorcycle injury and was paralyzed for the last 12 years is now able to walk again, thanks to researchers combining cortical implants with an AI system that enables brain signals to translate into spinal stimuli. This research paper in Nature caught my eye so I had to do a deep dive!

Full breakdown is available here 

Why is this a milestone?

  • Past medical advances have shown signals can reactive paralyzed limbs, but they’ve been limited in scope. We’ve done this with human hands, legs, and even paralyzed monkeys before.

  • This time, scientists developed a real-time system that converts brain signals into lower body stimuli. The result is that the man can now live life — going to bars, climbing stairs, going up steep ramps. They released the study after their subject used this system for a full year. This is way more than a limited scope science experiment.

  • The unlock here was powered by AI. We’ve previously talked about how AI can decode human thoughts through an LLM. Here, researchers used a set of advanced AI algos to rapidly calibrate and translate his brain signals into muscle stimuli with 74% accuracy, all with average latency of just 1.1 seconds.

What can he now do: switch between stand/sit positions, walk up ramps, move up stair steps, and more.

What’s more: this new AI-powered Brain-Spine-Interface also helped him recover additional muscle functions, even when the system wasn’t directly stimulating his lower body.

  • Researchers found notable neurological recovery in his general skills to walk, balance, carry weight and more.

  • This could open up even more pathways to help paralyzed individuals recover functioning motor skills again. Past progress here has been promising but limited, and this new AI-powered system demonstrated substantial improvement over previous studies.

Where could this go from here?

  • My take is that LLMs might power even further gains. As we saw with a prior Nature study where LLMs are able to decode human MRI signals, the power of an LLM to take a fuzzy set of signals and derive clear meaning from it transcends past AI approaches.

  • The ability for powerful LLMs to run on smaller devices could simultaneously add further unlocks. The researchers had to make do with a full-scale laptop running AI algos. Imagine if this could be done real-time on your mobile phone.

P.S. If you like this kind of analysis, the author offer a free newsletter that tracks the biggest issues and implications of generative AI tech. It’s sent once a week and helps you stay up-to-date in the time it takes to have your Sunday morning coffee.

How has AI improved your life?

I am a touring musician in a country music band. We’re completely independent, which means I pretty much have to do the whole backend . Including graphic design of all the flyers and posters merch, etc. I’m not a graphic designer by trade although it’s something I actually enjoy doing, but it’s extremely time consuming. If you want it to look right.
But now, with the help of some of these image to text AI tools, I have reduced the time I spend designing a 90%. It’s not perfect, but I spend the additional time I save, creating more music.
I know A I scares the crap out of a lot of people however, I’m getting more of my life back because of these breakthroughs. If you know any AI tools, that can help independent musicians.

How Microsoft’s AI innovations will change your life (Microsoft Keynote Key Moments)

 

The Microsoft 2023 keynote is out and there are some really mindblowing updates. I do not where all this will go but it’s important to be aware of the developments. So if you don’t know I will shortly summarise it here.

  • Nadella announced Windows Copilot and Microsoft Fabric, two new products that bring AI assistance to Windows 11 users and data analytics for the era of AI, respectively.

  • Nadella unveiled Microsoft Places and Microsoft Designer, two new features that leverage AI to create immersive and interactive experiences for users in Microsoft 365 apps.

  • Nadella announced that Power Platform is getting new features that will make it even easier for users to create no-code solutions. For example, Power Apps will have a new feature called App Ideas that will allow users to create apps by simply describing what they want in natural language.

If you want to know a short detail of what all happened, pls check out the post. It would be really appreciating if you do:

https://www.sigmotron.com/post/how-microsoft-s-ai-innovations-will-change-your-life-microsoft-keynote-key-moments

AI vs. “Algorithms.”: What is the difference between AI and “Algorithms”?

Artificial Intelligence (AI) and algorithms are both important aspects of computing, but they serve different functions and represent different levels of complexity.

An algorithm is a set of instructions that a computer follows to complete a task. These tasks can range from basic arithmetic to complex procedures like sorting data. Every piece of software uses algorithms to function. Essentially, an algorithm is like a recipe, detailing a list of steps that need to be taken in order to achieve a certain outcome.

AI, on the other hand, refers to a broad field of computer science that focuses on creating systems capable of tasks that normally require human intelligence. This includes things like learning, reasoning, problem-solving, perception, and language understanding. The goal of AI is to create systems that can perform these tasks autonomously.

While AI systems use algorithms as part of their operation, not all algorithms are part of an AI system. For instance, a simple sorting algorithm doesn’t learn or adapt over time, it just follows a set of instructions. Conversely, an AI system like a neural network uses complex algorithms to learn from data and improve its performance over time.

In summary, all AI uses algorithms, but not all algorithms are used in AI.

Prompt Engineering: The Ultimate Guide with All the Commands

 

https://danielkliewer.com/prompt-engineering-the-ultimate-guide-with-all-the-commands/

If you’re as fascinated by AI as I am, then you won’t want to miss this incredible blog post on prompt engineering. Written by AI itself, this guide is an absolute goldmine for anyone looking to dive deeper into crafting prompts that elicit mind-blowing responses from AI models.
Prompt engineering is an art that requires a deep understanding of the model’s capabilities and limitations. This article provides a step-by-step approach to help you master the craft. From starting with clear goals to utilizing relevant keywords and providing concrete examples, you’ll learn how to supercharge your prompts and unlock the true potential of AI.
But wait, there’s more! The article also delves into fine-tuning techniques, giving you the power to control output creativity, diversity, and fluency. Plus, it covers essential prompt commands and training parameters that allow you to customize and optimize the AI model’s behavior.
Trust me, folks, this is a must-read for AI enthusiasts, developers, and anyone curious about the art of prompt engineering. Don’t miss out on this ultimate guide that will revolutionize the way you interact with AI models. Happy prompt engineering!

Latest AI Trends in May 2023: May 24th, 2023

The artist using AI to turn our cities into ‘a place you’d rather live’

The artist using AI to turn our cities into 'a place you'd rather live'
The artist using AI to turn our cities into ‘a place you’d rather live’
From using AI to create more beautiful versions of existing streets to harnessing machine learning to help cities respond to climate change, emerging technology is helping shape the future of our public …
 
 

Will hand to hand combat even be a requirement for soldiers anymore? Will endurance even matter, or will a war 300 years from now be commandeered from an advanced PlayStation control room?

Fully automated weapons systems that are operated with no morals, no conscience, just cold calculation.

Imagine a self-driving tank, but the entire crew compartment is available for more armor, more engine, and more ammo. It has image recognition and GPS. You can give it an order of “Here’s a box made from GPS coordinates (a geofence), go in there any kill anyone with a gun”.

But, unfortunately, it could also be given a geofence and told to kill everyone and everything, and it would not be concerned about committing a war crime.

 

Free ChatGPT Course: Use The OpenAI API to Code 5 Projects

Free ChatGPT Course: Use The OpenAI API to Code 5 Projects
Free ChatGPT Course: Use The OpenAI API to Code 5 Projects
With all the buzz surrounding the ChatGPT. Are you eager to make the most out of it? Here is the FREE video course that offers a comprehensive education about OpenAI API through detailed explanations and …
 

Generative AI Is Coming Soon To Search, PMax And Google Ads

Generative AI Is Coming Soon To Search, PMax And Google Ads
Generative AI Is Coming Soon To Search, PMax And Google Ads
Google has announced an assortment of AI-powered ad products and marketing tools, including the addition of generative AI to Performance Max.
 

What Is Artificial Intelligence as a Service (AIaaS)?

 
There is a new player in the “as a service” market. Yup, it’s AIaaS.
 

Nvidia teams up with Microsoft to accelerate AI efforts for enterprises and individuals

Nvidia teams up with Microsoft to accelerate AI efforts for enterprises and individuals
Nvidia teams up with Microsoft to accelerate AI efforts for enterprises and individuals
Nvidia will integrate its AI enterprise software into Azure machine learning and introduce deep learning frameworks on Windows 11 PCs.
 

Groundbreaking QLoRA method enables fine-tuning an LLM on consumer GPUs. Implications and full breakdown inside.

 

Another day, another groundbreaking piece of research I had to share. This one uniquely ties into one of the biggest threats to OpenAI’s business model: the rapid rise of open-source, and it’s another milestone moment in how fast open-source is advancing.

As always, the full deep dive is available here, but my Reddit-focused post contains all the key points for community discussion.

Why should I pay attention here?

  • Fine-tuning an existing model is already a popular and cost-effective way to enhance an existing LLMs capabilities versus training from scratch (very expensive). The most popular method, LoRA (short for Low-Rank Adaption), is already gaining steam in the open-source world.

  • The leaked Google “we have no moat, and neither does OpenAI memo” calls out Google (and OpenAI as well) for not adopting LoRA specifically, which may enable the open-source world to leapfrog closed-source LLMs in capability.

  • OpenAI is already acknowledging that the next generation of models is about new efficiencies. This is a milestone moment for that kind of work.

  • QLoRA is an even more efficient way of fine-tuning which truly democratizes access to fine-tuning (no longer requiring expensive GPU power)

    • It’s so efficient that researchers were able to fine-tune a 33B parameter model on a 24GB consumer GPU (RTX 3090, etc.) in 12 hours, which scored 97.8% in a benchmark against GPT-3.5.

    • A commercial GPU with 48GB of memory is now able to produce the same fine-tuned results as the same 16-bit tuning requiring 780GB of memory. This is a massive decrease in resources.

  • This is open-sourced and available now. Huggingface already enables you to use it. Things are moving at 1000 mph here.

How does the science work here?

QLoRA introduces three primary improvements:

  • A special 4-bit NormalFloat data type is efficient at being precise, versus the 16-bit floats and integers which are memory-intensive. Best way to think about this is that it’s like compression (but not exactly the same).

  • They quantize the quantization constants. This is akin to compressing their compression formula as well.

  • Memory spikes typical in fine-tuning are optimized, which reduces max memory load required

What results did they produce?

  • A 33B parameter model was fine-tuned in 12 hours on a 24GB consumer GPU. What’s more, human evaluators preferred this model to GPT-3.5 results.

  • A 7B parameter model can be fine-tuned on an iPhone 12. Just running at night while it’s charging, your iPhone can fine-tune 3 million tokens at night (more on why that matters below).

  • The 65B and 33B Guanaco variants consistently matched ChatGPT-3.5’s performance. While the benchmarking is imperfect (the researchers note that extensively), it’s nonetheless significant and newsworthy.

What does this mean for the future of AI?

  • Producing highly capable, state of the art models no longer requires expensive compute for fine-tuning. You can do it with minimal commercial resources or on a RTX 3090 now. Everyone can be their own mad scientist.

  • Frequent fine-tuning enables models to incorporate real-time info. By bringing cost down, this is more possible.

  • Mobile devices could start to fine-tune LLMs soon. This opens up so many options for data privacy, personalized LLMs, and more.

  • Open-source is emerging as an even bigger threat to closed-source. Many of these closed-source models haven’t even considered using LoRA fine-tuning, and instead prefer to train from scratch. There’s a real question of how quickly open-source may outpace closed-source when innovations like this emerge.

P.S. If you like this kind of analysis, the author  offers a free newsletter that tracks the biggest issues and implications of generative AI tech. It’s sent once a week and helps you stay up-to-date in the time it takes to have your Sunday morning coffee.

Superintelligence: OpenAI Says We Have 10 Years to Prepare

Sam Altman was writing about superintelligence in 2015. Now he’s back at it. In 2015 he had his blog. Today, in 2023, he has the world’s future in his hands—or does he?

In 2015, Altman wrote a twopart blog post on why we should fear and regulate superintelligence (a must-read I should say if you want to understand his vision).

After reading them, it makes sense. Altman’s message is visionary, clairvoyant even.

He was writing about superintelligence eight years ago and now he has in his hands the future of the world—and the opportunity to implement all those crazy beliefs. The cycle is closing. OpenAI’s founders say we’re entering the final phase of this journey.

The post they’ve just published echoes Altman’s words: We should be careful and afraid. The only way forward is regulation. There’s no going back. Superintelligence is inevitable.

But there’s another reading; like a self-fulfilling prophecy. Or the appearance of one.

Let me ask you this: Do you think these three months of AI progress (or six, let’s be generous and include ChatGPT’s release) warrant this change of discourse?

You can read my complete analysis for The Algorithmic Bridge here.

AiToolkit V2.0, based on YOUR feedback! (1400+ AI tools)

One-Minute Daily AI News 2023/05/24

  1. Microsoft launched Jugalbandi, an AI chatbot designed for mobile devices that can help all Indians — especially those in underserved communities — access information for up to 171 government programs.

  2. Elon Musk thinks AI could become humanity’s uber-nanny.

  3. Google introduces Product Studio, a tool that lets merchants create product imagery using generative AI.

  4. Microsoft has launched the AI data analysis platform Fabric, which enables customers to store a single copy of data across multiple applications and process it in multiple programs. For example, data can be utilized for collaborative AI modeling in Synapse Data Science, while charts and dashboards can be built in Power BI business intelligence software.

Latest AI Trends in May 2023: May 23rd, 2023

Is Meta AI’s Megabyte architecture a breakthrough for Large Language Models (LLMs)?

Meta AI’s release of the Megabyte architecture presents a significant advancement in the field of AI, specifically for Large Language Models (LLMs). This architecture enables the support of over 1 million tokens, making it a potential game changer in the scale and complexity of tasks that LLMs can handle. Some experts suggest that even OpenAI might consider adopting this architecture. Discover more about this development here.

What does Google’s new Generative AI Tool, Product Studio, offer?

Google’s Product Studio is a revolutionary Generative AI tool aimed at leveraging artificial intelligence for product design and innovation. This tool brings forth new possibilities in automating and optimizing the product development process. For a comprehensive overview of Product Studio, check out our article here.

Why does Geoffery Hinton believe that AI learns differently than humans?

Geoffery Hinton, known as the Godfather of AI, has made several observations regarding the learning mechanisms of artificial intelligence. He suggests that AI processes information and learns in a manner that is fundamentally different from human learning. This difference may dictate the trajectory of AI evolution and its potential applications. For a deeper understanding of Hinton’s perspectives, read our full report here.

What is the essence of the webinar on Running LLMs performantly on CPUs Utilizing Pruning and Quantization?

This webinar focuses on techniques to optimize the performance of Large Language Models (LLMs) on Central Processing Units (CPUs). Specifically, it discusses the benefits and application of pruning and quantization strategies. To find more about this, click here.

When will AI surpass Facebook and Twitter as the major sources of fake news?

The question of when AI might surpass social platforms like Facebook and Twitter as a primary source of fake news is a complex issue. It hinges on advancements in AI technology and its potential misuse in the creation and spread of misinformation. As of now, AI technology, while advanced, is still largely a tool that must be directed. For an in-depth discussion on this topic, refer to our full article here.

AI: Enhancing or Limiting Human Intelligence?

The impact of AI on human intelligence is a topic of ongoing debate. On one hand, AI has the potential to augment human capabilities, providing tools and insights beyond our natural abilities. On the other hand, overreliance on AI could potentially limit the development of certain human skills. To learn more about this fascinating discussion, refer to our full analysis here.

What are Foundation Models?  

A Foundation Model is a large AI model trained on a very large quantity of data, often by self-supervised or semi-supervised learning. In other words: the model starts from a “corpus” (the dataset it’s being trained on) and generates outputs, over and over, checking those outputs against the original data. Foundation Models, once trained, gain the ability to output complex, structured responses to prompts that resemble human replies.   

The advantage of a foundational model over previous deep learning models is that it is general, and able to be adapted to a wide range of downstream tasks.  

What you need to know about Foundation Models 

Foundation Models can start from very simple data – albeit vast quantities of very simple data – to build and learn very complex things. Think about how your profession is made up of many interwoven, complex and nuanced concepts and jargon: a good foundational model offers the potential to quickly and correctly answer your questions, using that vast corpus of knowledge to deliver responses in understandable language.  

Some things foundation models are good at:  

  • Translation (from one language to another)
  • Classification (putting items into correct categories)  
  • Clustering (grouping similar things together)  
  • Ranking (determining relative importance)  
  • Summarization (generating a concise summary of a longer text)  
  • Anomaly Detection (finding uncommon or unusual things)  

Those capabilities could easily be a great benefit to professionals in their day-to-day work, such as reviewing large quantities of documents to find similarities, variances, and determining which are the highest importance.  

What is a Large Language Model?  

Large Language Models (LLMs) are a subset of Foundation Models and are typically more specialized and fine-tuned for specific tasks or domains. An LLM is trained on a wide variety of downstream tasks, such as text classification, question-answering, translation, and summarization. That fine-tuning process helps the model adapt its language understanding to the specific requirements of a particular task or application. 

Large Language Models are often used for various natural language processing applications and are known for generating coherent and contextually relevant text based on the input provided. But LLMs are also subject to hallucinations, in which outputs confidently assert claims of facts that are not actually true or justified by their training data. This is not necessarily a bad thing in all cases, since it can be advantageous for LLMs to be able to mimic human creativity (like asking the LLM to write song lyrics in the style of Taylor Swift), but it is a serious concern when citing resources in a professional context. Hallucinations related to factual citations have tended to decrease as LLMs are trained more carefully both on vast, diverse data and for specific, particular tasks, and as human reviewers flag those errors. 

What you need to know about Large Language Models 

We already knew computers were good at manipulating data based on numbers, from Microsoft Excel to VBA to more complex databases. With LLMs, an even greater power of analysis and manipulation can be applied to unstructured data made up of words – such as legal or accounting treatises and regulations, the entire corpus of an organization’s documents, and massive, larger datasets than those.  

LLMs promise to be the same force multiplier for professionals who work with words, risks, and decision-making as Excel was for professionals who work with numbers.  

What is cognitive computing? 

Cognitive computing is a combination of machine learning, language processing, and data mining that is designed to assist human decision-making. Cognitive computing differs from AI in that it partners with humans to find the best answer instead of AI choosing the best algorithm. The example from Deep Learning about healthcare applies here too: doctors use cognitive computing to help make a diagnosis; they are drawing from their expertise but are also aided by machine learning.  

What is AutoML?

AutoML refers to the automated process of end-to-end development of machine learning models. It aims to make machine learning accessible to non-experts and improve the efficiency of experts. AutoML covers the complete pipeline, starting from raw data to deployable machine learning models. This involves data pre-processing, feature engineering, model selection, hyperparameter tuning, model validation, and prediction. The main idea is to automate repetitive tasks, which makes it possible to build models in a fraction of the time, with less human intervention.

Why is AutoML Important?

In traditional machine learning model development, numerous steps demand significant human time and expertise. These steps can be a barrier for many businesses and researchers with limited resources. AutoML mitigates these challenges by automating the necessary tasks.

Democratising Machine Learning

By automating the machine learning process, AutoML opens up the field to non-experts.

Individuals or companies that lack resources to hire data scientists can use AutoML tools to build effective models.

Efficiency and Accuracy

AutoML can analyse multiple algorithms and hyperparameters in less time than humans. This process leads to more accurate models by considering a broad array of possibilities that humans might overlook.

Fast Prototyping

AutoML supports rapid prototyping of models. Businesses can quickly implement and test models to make timely data-driven decisions.

Limitations and Future Directions

While AutoML has its advantages, it’s not without limitations. AutoML models can sometimes be a black box, with limited interpretability. Furthermore, it requires significant computational resources. It is important to understand these limitations when choosing to use AutoML.

As machine learning continues to evolve, AutoML is expected to play an increasingly significant role.

In the near future, we can expect more user-friendly interfaces, increased model transparency, and models capable of operating on larger datasets more efficiently. AutoML is just a facet of the broad and intriguing world of artificial intelligence. With advancements in technology, it’s clear that the future of AI holds numerous opportunities and breakthroughs waiting to be explored. In future articles, we’ll explore other AI terminologies such as Edge Computing, Recommender Systems, and Robotics Process Automation. Stay tuned to expand your knowledge of AI and its transformative potential in different domains. Embrace the journey into AI, where learning never stops and every step brings new discoveries and insights.

Read more at: https://yourstory.com/2023/05/ai-terminology-101-automl-demystified

Daily AI Update (Date: 5/23/2023): News from Meta, Google, OpenAI, Apple and TCS

  • Meta’s Massively Multilingual Speech (MMS) models expand speech-to-text & text-to-speech to support over 1,100 languages — a 10x increase from previous work, and can also identify more than 4,000 spoken languages — 40 times more than before.

  • Meta’s AI researchers introduce LIMA, a refined language model aiming to match the performance of GPT-4 or Bard. It is a 65B parameter LLaMa model fine-tuned with the standard supervised loss on only 1,000 carefully curated prompts and responses, without any reinforcement learning or human preference modeling.

  • Google AI research introduces XTREME-UP, a new benchmark for evaluating multilingual models focusing on under-represented languages. It emphasizes a realistic evaluation setting, including new and existing user-centric tasks and realistic data sizes beyond the few-shot setting.

  • Apple has posted dozens of job listings focused on AI, indicating that the company may be stepping up its AI efforts to transform its signature products. The roles span areas including visual generative modeling, proactive intelligence, and applied AI research.

  • TCS has announced an expanded partnership with Google Cloud to launch a new offering called TCS Generative AI. It will utilize Google Cloud’s generative AI services to create custom-tailored business solutions that help clients accelerate their growth and transformation.

  • OpenAI leaders propose an IAEA-like international regulatory body for governing superintelligent AI.

Latest AI Trends in May 2023: May 22nd, 2023

Microsoft Researchers Introduce Reprompting: An Iterative Sampling Algorithm that Searches for the Chain-of-Thought (CoT) Recipes for a Given Task without Human Intervention

Microsoft Researchers Introduce Reprompting: An Iterative Sampling Algorithm that Searches for the Chain-of-Thought (CoT) Recipes for a Given Task without Human Intervention
Reprompting: An Iterative Sampling Algorithm that Searches for the Chain-of-Thought (CoT) Recipes for a Given Task without Human Intervention
In recent times, Large Language Models (LLMs) have evolved and transformed Natural Language Processing with their few-shot prompting techniques.  These models have extended their usability in almost every domain, ranging from Machine translation, Natural …

Sci-fi author ‘writes’ 97 AI-generated books in nine months

Sci-fi author 'writes' 97 AI-generated books in nine months
Sci-fi author ‘writes’ 97 AI-generated books in nine months
Plus: Official ChatGPT iPhone app debuts; Debt collectors using chatbots to chase debtor
 

Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning
Womble Bond Dickinson’s comprehensive Artificial Intelligence (AI) and Machine Learning practice provides comprehensive legal solutions to companies grappling with the complex legal issues arising from this disruptive technology. AI is now widely adopted across

Latest AI Trends in May 2023: May 21st, 2023

AI Deep Learning Decodes Hand Gestures from Brain Images

AI Deep Learning Decodes Hand Gestures from Brain Images
AI Deep Learning Decodes Hand Gestures from Brain Images
Research may lead to noninvasive brain-computer interfaces for the paralyzed.
 

How To Harmonize Human Creativity With Machine Learning

How To Harmonize Human Creativity With Machine Learning
How To Harmonize Human Creativity With Machine Learning
With the rise of machine learning tools such as ChatGPT, we’ve seen a lot of speculation regarding what that looks like for the future of human creativity at work.
 

How does Alpaca follow your instructions? Stanford Researchers Discover How the Alpaca AI Model Uses Causal Models and Interpretable Variables for Numerical Reasoning

How does Alpaca follow your instructions? Stanford Researchers Discover How the Alpaca AI Model Uses Causal Models and Interpretable Variables for Numerical Reasoning
How does Alpaca follow your instructions? Stanford Researchers Discover How the Alpaca AI Model Uses Causal Models and Interpretable Variables for Numerical Reasoning
Modern large language models (LLMs) are capable of a wide range of impressive feats, including the appearance of solving coding assignments, translating between languages, and carrying on in-depth conversations.
 

Generative AI That’s Based On The Murky Devious Dark Web Might Ironically Be The Best Thing Ever, Says AI Ethics And AI Law

Generative AI That’s Based On The Murky Devious Dark Web Might Ironically Be The Best Thing Ever, Says AI Ethics And AI Law
Generative AI That’s Based On The Murky Devious Dark Web Might Ironically Be The Best Thing Ever, Says AI Ethics And AI Law
Generative AI That’s Based On The Murky Devious Dark Web Might Ironically Be The Best Thing Ever, Says AI Ethics And AI Law
 

Daily AI Update (Date: 5/22/2023)

  • A groundbreaking method called Mind-Video has been developed to reconstruct continuous visual experiences in videos using brain recordings. This innovative approach achieves high-quality video reconstruction with various frame rates by combining masked brain modeling, multimodal contrastive learning, and augmented Stable Diffusion.

  • Microsoft’s Bing introduces new features and improvements, including chat history, charts and visualizations, export options, video overlay, optimized recipe answers, share fixes, improved auto-suggest quality, and privacy enhancements in the Edge sidebar. These updates enhance the user experience, making search more efficient and user-friendly.

  • The next iteration of Perplexity has arrived: The interactive AI search companion, Copilot enhances your search experience by providing personalized answers through interactive inputs, leveraging the power of GPT-4.

  • RoboTire has developed an AI-powered robot that can change a set of 4 wheels in approximately 23 minutes in the U.S., twice as fast as a human technician. The system aims to improve efficiency, reduce labor costs, and address labor shortages.

  • MS Artificial Nose – An intelligent device that identifies smells with a simple gas sensor and a micro-controller.

  • AI-generated image of Pentagon explosion causes market drop.

  • Intel on Monday provided a handful of new details on a chip for AI computing it plans to introduce in 2025 as it shifts strategy to compete against Nvidia and AMD.

  • Bill Gates says top AI agents will replace search and shopping sites.

  • AI predicts the function of enzymes: An international team including bioinformaticians from Heinrich Heine University Düsseldorf (HHU) developed an AI method that predicts with a high degree of accuracy whether an enzyme can work with a specific substrate.

  • ‘Deepfake’ scam in China fans worries over AI-driven fraud. A fraud in northern China that used sophisticated “deepfake” technology to convince a man to transfer money to a supposed friend has sparked concern about the potential of artificial intelligence (AI) techniques to aid financial crimes.

 

Governing AI-Ghosts

One of the topics in AI i’m most interested in is mimetic AI — which are systems that mimic human behavior in the style of a specific human, imagine personal assistants trained on your behavior, or art generators trained on your art, or clones of your voice — that continue to mimic you after you’re dead.
Examples of this are already plenty: a synthetic voiceover by the deceased chef Anthony Bourdain caused a global stirr one year ago, the illustration style of artist Kim Jung-Gi was immediately used by a fan to train a Stable Diffusion-model after his death, Muhammad Ahmed developed an AI chatbot in his image for his grandkids he would never meet, recently Sony used an AI-clone of the dead voice actor Kenji Utsumi for an audiobook, Tom Hanks just said that he very well might appear in movies after he’s dead, a viral piece for the SF chronicle told the story of the Jessica Simulation, in which a guy resurrected his dead girlfriend as a chatbot.
Also, i just learned that there is a subset of this particular application of AI-tech called Grief Technology, and there is actually a company called AI seance offering an “AI-generated Ouija board for closure“, as they call it.
I think this last example in particular is horrible and has important implications on mental health. Grief is a psychological process, in which you learn to accept loss. It’s a deeply personal process i went through twice, and both times were different, and always challenging. Creating an artificial illusion of continuity of a loved one after their death will disrupt this process, which every single human on earth will go through multiple times in their lifes. The consequences are potentially catastrophic for our mental health and it’s not stopping there.
A new paper intriguingly titled Governing Ghostbots discusses exactly these implications, and it goes into territory even i didn’t think about: What happens when you train a sexbot on your partner and then she dies? Is continuing that virtual sex-fetish “extreme pornography as involving necrophilia“ and deemed illegal per se then? The paper also speaks about the legal aspects of such a ghostbot being harmful to the deceased’s antemortem persona, at least in germany, there are laws against that called ‘Verunglimpfung des Andenkens Verstorbener‘, translating to ‘disparagement of the memory of the deceased’.
Expensive gimmicks like concerts of deceased popstars “performing“ as holograms on stage like TupacWhitney Huston or Michael Jackson introduced ethical debates about post-mortem privacy ten years ago, and now, AI-systems open similar tech to everyone, where you can simply build an open source AI-chatbot of your dead grandma, synch it with an animated avatar and make her say whatever on your phone. Do we really want that? Would she approve? But what about being able to make a virtual post mortem memorial where she dances on stage in the style of her most beloved artist, singing her favorite song?
Will we all be right back and will you join me in the club at San Junipero?

And while i don’t think we’ll see conscious AI-systems anytime soon or even in my lifetime, just for the sake of the argument: What if we train future AI-systems on real people, they die, and the system gains consciousness or something similar? Then what?

These are philosophical questions related to the Teletransportation paradox explored by Stanislaw Lem in his Dialogs, in one of which he talks about a teleporting machine that effectively kills you in one location while constructing a replica of yourself, atom by atom, in another place. Is that a true continuation of yourself? We can’t know, and we are building digital systems that can perform something that resembles this replication process now.

Finding out about those psychological questions will be one of the most interesting aspects of this technology, extending our philosophical understanding of who we are.

How can we expect aligned AI if we don’t even have aligned humans?

 

When we talk about AI alignment, we envision designing artificial intelligence that behaves in a way that aligns with human values and goals. But isn’t it fair to ask whether we, as humans, have even been successful in aligning ourselves?

Throughout history, humans have disagreed about almost everything – from politics to religious beliefs, from ethical principles to personal preferences. We’ve not been able to fully ‘align’ on universally acceptable definitions for concepts like ‘good,’ ‘right,’ or ‘justice.’ Even on basic issues, like climate change, we find a vast array of contrasting perspectives, even though the scientific consensus is overwhelmingly one-sided.

It seems we are demanding a degree of alignment from AI that we’ve been unable to achieve amongst ourselves.

What do you all think? Does the persistent discord among humans undermine the idea of perfect AI alignment? If so, how should we approach AI development, and what are the best ways to ensure that AI benefits all of humanity?

Latest AI Trends in May 2023: May 19th, 2023

Is AI vs Humans really a possibility? 

According to the I nternet, 50% say the chance of that happening  is extremely significant; even 10-20% is very significant probability.

I know there is a lot of misinformation campaigns going on with use of AI such as deepfake videos and whatnot, and that can somewhat lead to destructive results, but do you think AI being able to nuke humans is possible?

Answer:

AI will never “nuke humans”. Let’s be clear about this: The dangers surrounding AI are not inherent to AI. What makes AI dangerous is people.

We need to be concerned about people in positions of power wielding or controlling these tools to exploit others, and we need to be concerned about the people building these tools simply getting it wrong and developing something without sufficient safety built in, or being misaligned with humanity’s best interests.

Rebuke:

That’s what’s happening already and has been gradually increasing for a long time. What is going to occur is a situation where greater than human intelligence will be created which no one will be able to “use” because they won’t be able to understand what it’s doing. Being concerned about bias in a language model is just like being concerned with bias in a language, which is something we’re already dealing with and a problem people have studied. Artificial intelligence is beyond this. It won’t be used by people against other people. Rather, people will be compelled to use it.

We’ll be able to create an AI which is demonstrably less biased than any human and then in the interest of anti-bias (or correct medical diagnoses, or reducing vehicle accidents), we will be compelled to use it because otherwise we’ll just be sacrificing people for nothing. It won’t just be an issue of it being profitable, it’ll be that it’s simply better. If you’re a communist, you’ll also want an AI running things just as much as a capitalist does.

Even dealing with this will require a new philosophical understanding of what humanism should be. Since humanism was typically connected to humans’ rational capability, and now AI will be superior in this capability, we will be tempted to embrace a reactionary, anti-rational form of humanism which is basically what the stated ideology of fascism is.

Exactly how this crisis unfolds won’t be like any movie you can imagine, though parts may be as some things already happening are. But it’ll be just as massive and likely catastrophic as what your imagining.

How much has AI developed these days

How much has AI developed these days
How much has AI developed these days
 

How to Pass and Renew Azure Artificial Intelligence Engineer (AI-102) Certificate

 

In this article, we will discuss Azure Artificial Intelligence Engineer certification. As cloud computing grows, more services are being offered which include artificial intelligence.

Microsoft Azure is one of the leading cloud computing platforms that offer hundreds of services to customers, especially enterprises ranging from cloud infrastructure to big data and artificial intelligence. Microsoft Azure offers comprehensive end-to-end services that are appealing to most organizations.

Microsoft Azure offers a wide variety of cloud certifications including Azure Artificial Intelligence certification. There are now thirteen Microsoft Azure Certifications divided into three levels which are Fundamental, Associate and Expert.

The certifications for Azure Artificial Intelligence have Fundamental and Associate levels only. For the Fundamental level, it’s known as AI-900 or Exam AI-900: Microsoft Azure AI Fundamentals and the Associate level is known as AI-102 or Exam AI-102: Designing and Implementing a Microsoft AI Solution.

Back in June 2021, the certification was known as AI-100 however Microsoft has decided to retire AI-100 and introduced AI-102. There is no expert level for Azure Artificial Intelligence making AI-102 the most desirable certification.

https://itcertificate.org/guide/azure/how-to-pass-and-renew-azure-artificial-intelligence-engineer-ai-102-certificate/

The Future of AI-Generated TV Shows/Movies and Immersive Experiences

 

In the next decade or so, artificial intelligence (AI) may have advanced enough to create entire TV shows or movies based on a single prompt. Imagine generating a brand new episode of Seinfeld, my all-time favorite show, with a simple request: “Create a Season 7-styled Seinfeld episode where Kramer takes up yoga and Jerry dates a woman who doesn’t shave her legs. Include appearances from Newman and George’s parents.” Thousands of people could create episodes this way, and a ranking system could determine the best AI-generated episodes. This means we could potentially enjoy fresh, high-quality episodes of our favorite shows daily for the rest of our lives. How amazing would that be?

Taking it a step further, envision donning a VR headset and immersing yourself in a personalized episode of Seinfeld. Upon entering the virtual world, you’d find yourself in an apartment in Jerry’s building, and Jerry would welcome you to the neighborhood. You’d be able to interact with the show’s characters, who would respond to your input in real-time, creating a unique episode tailored to your actions and decisions. You could even introduce characters from other shows, like having Rachel from Friends as your girlfriend, and participate in an entirely new storyline.

In this immersive experience, you and Rachel could visit Jerry’s apartment together, joining the original cast members, and engaging in lively conversations and witty banter. Suddenly, a knock on the door reveals the actors from Law & Order, who inform everyone that Newman has been murdered, and one of you is the prime suspect. In this interactive, AI-generated world, you could say or do whatever you want, and all the characters would react accordingly, shaping the story in real-time.

Although I’m speculating that this level of AI-generated entertainment could be possible within 10 years, it might take more time or perhaps arrive even sooner. Regardless, it seems highly probable within our lifetime, and I’m genuinely excited for the incredible, customizable experiences that await us.

AI Daily News on May 19th, 2023

  • OpenAI launches ChatGPT app for iOS. It will sync conversations, support voice input, and bring the latest improvements to the fingertips of iPhone users. And Android users are next!

  • Meta is advancing infrastructure for AI in exciting ways. It includes its first-generation custom silicon chip for running AI models, a new AI-optimized data center design, and the second phase of its 16,000 GPU supercomputer for AI research.

  • Introducing DragGAN- to deform an image with precise control over where pixels go, thus manipulating the pose, shape, expression, and layout of diverse images such as animals, cars, humans, landscapes, etc.

  • ClearML announces ClearGPT, a secure and enterprise-grade generative AI platform aiming to overcome ChatGPT challenges

More detailed breakdown of these news, tools and knowledge nugget section in the daily newsletter

Scientists use GPT LLM to passively decode human thoughts with 82% accuracy. This is a medical breakthrough that is a proof of concept for mind-reading tech.

The author’s full breakdown is here of the research approach, but the key points are worthy of discussion below:

Methodology

  • Three human subjects had 16 hours of their thoughts recorded as they listed to narrative stories

  • These were then trained with a custom GPT LLM to map their specific brain stimuli to words

Results

The GPT model generated intelligible word sequences from perceived speech, imagined speech, and even silent videos with remarkable accuracy:

  • Perceived speech (subjects listened to a recording): 72–82% decoding accuracy.

  • Imagined speech (subjects mentally narrated a one-minute story): 41–74% accuracy.

  • Silent movies (subjects viewed soundless Pixar movie clips): 21–45% accuracy in decoding the subject’s interpretation of the movie.

The AI model could decipher both the meaning of stimuli and specific words the subjects thought, ranging from phrases like “lay down on the floor” to “leave me alone” and “scream and cry.

Implications

I talk more about the privacy implications in my breakdown, but right now they’ve found that you need to train a model on a particular person’s thoughts — there is no generalizable model able to decode thoughts in general.

But the scientists acknowledge two things:

  • Future decoders could overcome these limitations.

  • Bad decoded results could still be used nefariously much like inaccurate lie detector exams have been used.

P.S. (small self plug) — If you like this kind of analysis, The author offers a free newsletter that tracks the biggest issues and implications of generative AI tech. Readers from a16z, Sequoia, Meta, McKinsey, Apple and more are all fans. It’s been great hearing from so many of you how helpful it is!

Latest AI Trends in May 2023: May 18th, 2023

Are Alexa and Siri AI?

Are Alexa and Siri AI?
Are Alexa and Siri AI?
Alexa and Siri are powered by conversational AI. These voice assistants use natural language processing and machine learning to perform and learn over time.
 

Diagnosis of autism spectrum disorder based on functional brain networks and machine learning

Diagnosis of autism spectrum disorder based on functional brain networks and machine learning
Diagnosis of autism spectrum disorder based on functional brain networks and machine learning
Scientific Reports – Diagnosis of autism spectrum disorder based on functional brain networks and machine learning
 

Google’s new medical LLM scores 86.5% on medical exam. Human doctors preferred its outputs over actual doctor answers. Full breakdown inside.

Why is this an important moment?

  • Google researchers developed a custom LLM that scored 86.5% on a battery of thousands of questions, many of them in the style of the US Medical Licensing Exam. This model beat out all prior models. Typically a human passing score on the USMLE is around 60% (which the previous model beat as well).

  • This time, they also compared the model’s answers across a range of questions to actual doctor answers. And a team of human doctors consistently graded the AI answers as better than the human answers.

Let’s cover the methodology quickly:

  • The model was developed as a custom-tuned version of Google’s PaLM 2 (just announced last week, this is Google’s newest foundational language model).

  • The researchers tuned it for medical domain knowledge and also used some innovative prompting techniques to get it to produce better results (more in my deep dive breakdown).

  • They assessed the model across a battery of thousands of questions called the MultiMedQA evaluation set. This set of questions has been used in other evaluations of medical AIs, providing a solid and consistent baseline.

  • Long-form responses were then further tested by using a panel of human doctors to evaluate against other human answers, in a pairwise evaluation study.

  • They also tried to poke holes in the AI by using an adversarial data set to get the AI to generate harmful responses. The results were compared against the AI’s predecessor, Med-PaLM 1.

What they found:

86.5% performance across the MedQA benchmark questions, a new record. This is a big increase vs. previous AIs and GPT 3.5 as well (GPT-4 was not tested as this study was underway prior to its public release).

They saw pronounced improvement in its long-form responses. Not surprising here, this is similar to how GPT-4 is a generational upgrade over GPT-3.5’s capabilities.

The main point to make is that the pace of progress is quite astounding.

A panel of 15 human doctors preferred Med-PaLM 2’s answers over real doctor answers across 1066 standardized questions.

This is what caught my eye. Human doctors thought the AI answers better reflected medical consensus, better comprehension, better knowledge recall, better reasoning, and lower intent of harm, lower likelihood to lead to harm, lower likelihood to show demographic bias, and lower likelihood to omit important information.

The only area human answers were better in? Lower degree of inaccurate or irrelevant information. It seems hallucination is still rearing its head in this model.

Are doctors getting replaced? Where are the weaknesses in this report?

No, doctors aren’t getting replaced. The study has several weaknesses the researchers are careful to point out, so that we don’t extrapolate too much from this study (even if it represents a new milestone).

  • Real life is more complex: MedQA questions are typically more generic, while real life questions require nuanced understanding and context that wasn’t fully tested here.

  • Actual medical practice involves multiple queries, not one answer: this study only tested single answers and not followthrough questioning, which happens in real life medicine.

  • Human doctors were not given examples of high-quality or low-quality answers. This may have shifted the quality of what they provided in their written answers. MedPaLM 2 was noted as consistently providing more detailed and thorough answers.

How should I make sense of this?

  • Domain-specific LLMs are going to be common in the future. Whether closed or open-source, there’s big business in fine-tuning LLMs to be domain experts vs. relying on generic models.

  • Companies are trying to get in on the gold rush to augment or replace white collar labor. Andreessen Horowitz just announced this week a $50M investment in Hippocratic AI, which is making an AI designed to help communicate with patients. While Hippocratic isn’t going after physicians, they believe a number of other medical roles can be augmented or replaced.

  • AI will make its way into medicine in the future. This is just an early step here, but it’s a glimpse into an AI-powered future in medicine. I could see a lot of our interactions happening with chatbots vs. doctors (a limited resource).

P.S. If you like this kind of analysis, the author offers a free newsletter that tracks the biggest issues and implications of generative AI tech. It’s sent once a week and helps you stay up-to-date in the time it takes to have your Sunday morning coffee.

Daily AI News on May 18th, 2023:

  1. Tesla has unveiled a new model of its humanoid robot called Tesla Bot. CEO Musk emphasized that the capabilities of the Optimus robot have been severely underestimated, and the demand for such products in the future will far exceed that of Tesla cars.[1]

  2. Canadian company Sanctuary AI has released a new versatile industrial robot called Phoenix, designed for a wide range of work scenarios. Phoenix integrates features such as wide-angle vision, object recognition, and intelligent grasping, achieving human-like operational proficiency.[2]

  3. NVIDIA’s CEO Jensen Huang stated that chip manufacturing is an ideal application for accelerating computing and AI. The next wave of AI will be embodied intelligence.[3]

  4. OpenAI CEO Altman claimed not to have any equity in OpenAI and that his compensation only covers his health insurance, while the company’s valuation has surpassed $27 billion.[4]

  5. Apple is set to launch a series of new accessibility features later this year, including a “Personal Voice” function that allows individuals to create synthetic voices based on a 15-minute audio recording of their own voice.[5]

Sources included at: https://bushaicave.com/2023/05/18/5-18-2023/

Google Launching Tools to Identify Misleading and AI Images

 

Google launching tools to identify misleading and AI images. The tech giant to mark every AI-generated image created by its tools. Read More

 

In light of feeling overwhelmed by AI’s disruption in the workplace I started thinking: What are the current limitations and failings of this generation of AI? I understand this is a rapidly changing field and this list could become outdated rather quickly. That being said, it’s becoming harder and harder to understand the current state of the art, since every post seems to conflate what its capable of doing with what people predict it will be doing in the future. So, without mixing in any predictions, what are the limitations, particularly in relation to human abilities?

I’ll Start.

  1. Generalized Embodiment: Robots are specialized, like burger flipping or welding a car part. There is no current robot that can finish replacing your muffler in the afternoon, then grill you a burger at dinner time.

  2. Hallucinations: current LLMs are susceptible to hallucinations. Sure humans are too, but we reserve extending our trust to them until we know them better, and so far I know a lot of humans I can trust more implicitly than chatGPT

  3. Innovation & Creativity: Correct me if I am wrong, but AI can only parrot and re-arrange ideas they have been trained on (see: Stochastic Parrots). They can’t invent new math or generate a truly novel concept that they haven’t been exposed to.

  4. Morality: There are moral concepts that have been “fine tuned” into the models, but there is no capacity to judge the morality of, for example, when an LLM lies. Does it know its lying? Does it feel there is anything wrong with lying? The best description is that these language models are amoral.

  5. Motivation & Curiosity: I can perceive no sense of internal motivation. Perhaps this is a good thing for now but if an LLM or other AI has no sense of internal motivation (or morality) it can quite easily be used for nefarious purposes by bad actors. Now, to be fair, humans can be manipulated to do this also, but AI could be used in this way without the bother of brainwashing first.

  6. Understanding: I haven’t decided if there is, or is not, some level of emergent property that could qualify for understanding. But I have been fairly unimpressed by chatGPT4’s ability to really understand and extend. It can generate patterns from data it has seen in the past, but only in so much as human understanding can be cross referenced to generate an answer.

  7. Argue: chatGPT readily admits its wrong, but doesn’t seem to know why its wrong, or have the ability to stand its ground when its right. It never seems to say “I don’t know, can you explain this to me?” Look up the story of Vasili Arkhipov, the Russian sub commander that prevented a catastrophe. Can we trust AI to be this bold, or moral?

Latest AI Trends in May 2023: May 17th, 2023

Workplace AI: How artificial intelligence will transform the workday

The rise of generative AI in the workplace is inevitable. There’s a lot to be excited about it.
 

3 Best AI Voice Cloning Services: Review

This article reviews the top three AI voice cloning services, providing a comprehensive analysis of their features, usability, and pricing. It serves as a guide for individuals or businesses seeking to utilize AI for voice cloning.
The services are: Descript, Elevenlabs, Coqui.ai

Roadmap to fair AI: revealing biases in AI models for medical imaging

The article discusses a roadmap to achieving fairness in AI models, particularly those used in medical imaging. It highlights the importance of identifying and eliminating biases to ensure accurate and equitable healthcare outcomes.

Main sources of bias in AI models include:

  1. Data collection

  2. Data preparation and annotation

  3. Model development

  4. Model evaluation

  5. System’s users

You can read the Gold Open Access article by K. Drukker et al., “Towards
fairness in artificial intelligence for medical image analysis:
identification and mitigation of potential biases in the roadmap from
data collection to model deployment,” J. Med. Imag. 10(6), 061104 (2023), doi 10.1117/1.JMI.10.6.061104

Sanctuary AI introduced Phoenix, the first humanoid to be powered by Carbon, standing at an impressive 5’7″ (+- 170 cm) and weighing 155 lbs (+- 70 kg)

Sanctuary AI has unveiled its first humanoid robot, Phoenix, powered by the AI system, Carbon. Standing at approximately 5’7″ and weighing around 155 lbs, Phoenix represents a significant advancement in humanoid robotics.

AI Daily updates from Microsoft, Google, Zoom, and Tesla

Microsoft launched a LangChain alternative in its new tool- Guidance. It bypasses traditional prompting and allows users to interleave generation, prompting, and logical control into a single continuous flow.

Google Cloud has launched two AI-powered tools to help biotech and pharmaceutical companies accelerate drug discovery and advance precision medicine. Pfizer, Cerevel Therapeutics, and Colossal Biosciences are already using these products.

Humanoid robots are becoming a reality. Sanctuary AI launched Phoenix, a 5’7″ and 55lb dextrous humanoid robot. Hours later, Tesla rolled out a video of humanoids walking around and learning about the real world.

OpenAI chief, Sam Altman, talked about a variety of topics ranging from “AI affecting upcoming elections” to “the future of humanity with AI,” in his appearance before congress. He suggested licensing and testing requirements for AI models.

Zoom announced its partnership with Anthropic to integrate AI assistant across the productivity platform, starting from its Contact Center product. They earlier partnered with OpenAI to launch ZoomIQ.

Machine learning model analyzes why couples break up

Machine learning model analyzes why couples break up
Machine learning model analyzes why couples break up
What does artificial intelligence offer that goes beyond traditional statistical models, such as regression analysis, to investigate the behavior of households, in particular the factors that cause the …
 

Report: 61% Americans believe AI can threaten humanity

Report: 61% Americans believe AI can threaten humanity
Report: 61% Americans believe AI can threaten humanity
According to a survey, the swift growth of artificial intelligence technology could put the future of humanity at risk. More than two-thirds of Americans are concerned about the negative effects of AI and 61% believe it could threaten civilization.
 

Elon Musk was asked what he’d tell his kids about choosing a career in the era of AI. His answer revealed he sometimes struggles with self-doubt and motivation.

Elon Musk was asked what he'd tell his kids about choosing a career in the era of AI. His answer revealed he sometimes struggles with self-doubt and motivation.
Elon Musk was asked what he’d tell his kids about choosing a career in the era of AI. His answer revealed he sometimes struggles with self-doubt and motivation.
When asked about the future of AI and work, Elon Musk says he has to have a “deliberate suspension of disbelief in order to remain motivated.”
 

Institution-specific machine learning model can predict cardiac patient’s mortality risk prior to surgery

Institution-specific machine learning model can predict cardiac patient's mortality risk prior to surgery
Institution-specific machine learning model can predict cardiac patient’s mortality risk prior to surgery
A machine learning-based model that enables medical institutions to predict the mortality risk for individual cardiac surgery patients has been developed by a Mount Sinai research team, providing a significant performance advantage over current population-derive
 

Kaiser creates new AI, machine learning grant program

Kaiser Permanente has launched a new AI and machine learning program to grant up to $750,000 to 3-5 health systems to improve diagnoses and patient outcomes.
 
 

Machine learning model improves mortality risk prediction in cardiac surgery

Machine learning model improves mortality risk prediction in cardiac surgery
Machine learning model improves mortality risk prediction in cardiac surgery
A machine learning-based model appeared to improve prediction of mortality risk for patients undergoing cardiac surgery compared with population-derived models, researchers reported.“The standard-of-care risk models used today are limited by their applicability t

Latest AI Trends in May 2023: May 16th, 2023

Meet Deepbrain: An AI StartUp That Lets You Instantly Create AI Videos Using Basic Text

Meet Deepbrain: An AI StartUp That Lets You Instantly Create AI Videos Using Basic Text
Meet Deepbrain: An AI StartUp That Lets You Instantly Create AI Videos Using Basic Text
TTS systems and artificially intelligent video creators are revolutionizing how we engage with information. In today’s increasingly digital environment, people value having ready access to a wide variety of content, including human voices. Modern technology has made it possible to hear articles, novels…
 

Microsoft Says New A.I. Shows Signs of Human Reasoning

Microsoft Says New A.I. Shows Signs of Human Reasoning
Microsoft Says New A.I. Shows Signs of Human Reasoning
A provocative paper from researchers at Microsoft claims A.I. technology shows the ability to understand the way people do. Critics say those scientists are kidding themselves.
 

Google’s newest A.I. model uses nearly five times more text data for training than its predecessor

Google's newest A.I. model uses nearly five times more text data for training than its predecessor
Google’s newest A.I. model uses nearly five times more text data for training than its predecessor
In announcing its PaLM 2 large language model, Google neglected to say how much training data was used for its most advanced LLM.
 

Google’s Universal Speech Model Performs Speech Recognition on Hundreds of Languages

Google's Universal Speech Model Performs Speech Recognition on Hundreds of Languages
Google’s Universal Speech Model Performs Speech Recognition on Hundreds of Languages
Google Research announced Universal Speech Model (USM), a 2B parameter automated speech recognition (ASR) model trained on over 12M hours of speech audio. USM can recognize speech in over 100 languages, including low-resource languages, and …
 

How to use machine learning to detect expense fraud

How to use machine learning to detect expense fraud
How to use machine learning to detect expense fraud
Expense fraud is a staggering cost for large enterprises. According to the ACFE Global Fraud Study, 5% of an organization’s annual revenue is lo…
 

OpenAI’s Sam Altman To Congress: Regulate Us, Please!

OpenAI’s Sam Altman To Congress: Regulate Us, Please!
OpenAI’s Sam Altman To Congress: Regulate Us, Please!
While generative AI, the flavor of artificial intelligence behind ChatGPT, has the potential to transform fields such as healthcare, physics, biology, and climate mode…
 

AI-powered DAGGER to give warning for CATASTROPHIC solar storms: NASA

AI-powered DAGGER to give warning for CATASTROPHIC solar storms: NASA
AI-powered DAGGER to give warning for CATASTROPHIC solar storms: NASA
In order to give us an advanced warning about the next destructive solar storm, NASA is leveraging a new AI and machine learning-based technology called DAGGER. Check the details.
 

Machine learning reveals sex-specific Alzheimer’s risk genes

Machine learning reveals sex-specific Alzheimer's risk genes
Machine learning reveals sex-specific Alzheimer’s risk genes
Research explores sex-specific gene associations in Alzheimer’s disease using a machine-learning approach. It reveals immune response pathways in both sexes and stress-response pathways in males, highlighting potential biomarkers and therapeutic targets…
 

Top 10 Best Artificial Intelligence Courses & Certifications

11 Best Artificial Intelligence Courses & Certifications
10 Best Artificial Intelligence Courses & Certifications
Dive into 10 top-tier AI courses that can empower you to stay competitive in the rapidly evolving landscape of artificial intelligence.
  1. Deep Learning Specialization by Andrew Ng on Coursera

    This is a five-course series that helps you understand the foundations of deep learning, learn how to build neural networks, and understand how to lead successful machine learning projects.

  2. Professional Certificate in Data Science by Harvard University (edX)

    This program covers the concepts necessary to understand and work with Python, R, and SQL for data science and machine learning.

  3. Machine Learning A-Z™: Hands-On Python & R In Data Science (Udemy)

    This course provides a thorough introduction to machine learning, data science, and R programming. It also covers the use of Python in data science.

  4. IBM AI Engineering Professional Certificate (Coursera)

    IBM’s AI Engineering program covers foundational concepts in machine learning and deep learning, with an emphasis on practical application and the use of popular tools and libraries.

  5. AI Nanodegree by Udacity

    This program focuses on important elements of AI like robotics, computer vision, and NLP. Real-world projects are a highlight of the course, offering hands-on experience.

  6. Machine Learning by Stanford University (Coursera)

    Authored by Andrew Ng, this course provides a comprehensive introduction to machine learning, datamining, and statistical pattern recognition.

  7. Artificial Intelligence (AI) by Columbia University (edX)

    This professional certificate program will introduce you to the basics of AI. Topics include machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.

  8. Artificial Intelligence A-Z™: Learn How To Build An AI (Udemy)

    This course combines theory with hands-on activities to understand the complex and often misunderstood field of artificial intelligence. The course uses tools like TensorFlow, Keras, and OpenAI Gym.

  9. AI For Everyone by Andrew Ng (Coursera)

    Designed for non-technical professionals, this course helps you understand AI terminology and concepts, its impact on society, and how to navigate through these emerging technologies.

  10. Foundations of Data Science by University of California, Berkeley (edX)

This program provides a comprehensive introduction to the field of data science, including statistical inference, machine learning, and data visualization.

 

Supervised deep learning with vision transformer predicts delirium using limited lead EEG

Supervised deep learning with vision transformer predicts delirium using limited lead EEG
Supervised deep learning with vision transformer predicts delirium using limited lead EEG
Scientific Reports – Supervised deep learning with vision transformer predicts delirium using limited lead EEG

Latest AI Trends in May 2023: May 15th, 2023

Why are sentient AI almost always portrayed as evil?

The portrayal of sentient AI as inherently evil in popular culture is a fascinating trend that often reflects society’s anxieties around technological advancements. This article from The AI Journal delves into the topic, exploring how the narrative around AI has been shaped by societal fears and the potential implications of this in the real world. The piece also discusses the need for a more nuanced approach to understanding AI and its potential benefits as well as dangers.

“Does this semantic pseudocode really exist?”

Does this semantic pseudocode really exist?

The article from AI Coding Insights focuses on semantic pseudocode, a conceptual method used in the field of computer science and AI for representing complex algorithms. The author explores the existence of this system, its application in AI development, and its potential impact on the broader field of artificial intelligence. The piece also provides a brief overview of the history and evolution of semantic pseudocode, underscoring its importance in the AI industry.

“Would AI be subject to the same limitations as humans in terms of intelligence? How could it possibly be a danger if it was?”

Would AI be subject to the same limitations as humans in terms of intelligence? How could it possibly be a danger if it was?

The article from AI News presents a thought-provoking exploration of the limitations and potential dangers associated with artificial intelligence. The author argues that while AI has the potential to surpass human intelligence in certain areas, it may still be subject to limitations similar to those of human cognition. The article further discusses the potential risks that could arise from AI, including ethical considerations, misuse of technology, and the possibility of AI systems developing unintended behaviors.

Council Post: The Strategic Opportunities Of Advanced AI: A Focus On ChatGPT

The Strategic Opportunities Of Advanced AI: A Focus On ChatGPT
The Strategic Opportunities Of Advanced AI: A Focus On ChatGPT
ChatGPT has become an overnight sensation, but the technical developments that enabled it took decades to emerge. In this article, I discuss what ChatGPT is, how it developed and executive strategies to navigate the opportunities.
 

Italy allocates funds to shield workers from AI replacement threat

Italy allocates funds to shield workers from AI replacement threat
Italy allocates funds to shield workers from AI replacement threat
Italy on Monday earmarked 30 million euros ($33 million) to improve the skills of unemployed people as well as those workers whose jobs could be most at risk from the advance of automation and artificial intelligence.
 

Meet Glaze: A New AI Tool That Helps Artists Protect Their Style From Being Reproduced By Generative AI Models

Meet Glaze: A New AI Tool That Helps Artists Protect Their Style From Being Reproduced By Generative AI Models
Meet Glaze: A New AI Tool That Helps Artists Protect Their Style From Being Reproduced By Generative AI Models
The emergence of text-to-image generator models has transformed the art industry, allowing anyone to create detailed artwork by providing text prompts. These AI models have gained recognition, won awards, and found applications in various media. However, their widespread use has negatively impacted ….
 

Machine learning model able to detect signs of Alzheimer’s across languages

Machine learning model able to detect signs of Alzheimer’s across languages
Machine learning model able to detect signs of Alzheimer’s across languages
A machine learning model able to screen individuals with Alzheimer’s dementia from individuals without it by examining speech traits typically observed among people with the disease could one day become a tool that makes earlier diagnosis possible.
 

Machine learning algorithm a fast, accurate way of diagnosing heart attack

Machine learning algorithm a fast, accurate way of diagnosing heart attack
Machine learning algorithm a fast, accurate way of diagnosing heart attack
Heart attack symptoms are sometimes similar to non-heart-related conditions, making diagnosis tricky. UK researchers have turned to machine learning to provide doctors with a fast and accurate way of diagnosing heart attacks that has the potential to shorten the time needed to make a diagnosis and provide…
 

Top 9 Essential Programming Languages in the Realm of AI

  1. Python: Python is the most widely used language in machine learning and artificial intelligence today. It serves as the cornerstone for most of A.I. since it is a basic yet strong language. Many programmers have conducted cost-benefit analyses that indicate that adopting Python speeds up development without losing quality.

  2. R Language: A language that is frequently used by professionals who specialize in the assessment, analysis, and manipulation of statistical data. R allows you to create a publication-read graphic replete with equations and mathematical calculations.

  3. Lisp: Lisp offers a lot of advantages that are still relevant in the twenty-first century. It excels at prototyping and enables the easy dynamic generation of new items while automatically clearing away rubbish. The development cycle of Lisp makes it simple to evaluate expressions and recompile functions in an ongoing application.

  4. Prolog: Prolog has several uses outside of the healthcare field. It’s also excellent for A.I. Prolog excels in pattern matching thanks to its tree-based data structure and automated backtracking. It’s an excellent arrow to have in your quiver as an A.I. expert.

  5. Java: Java is likely to help you advance in your profession since it is the most extensively used programming language on the planet and can be utilized in a variety of scenarios other than A.I. It is incredibly popular due to its adaptability, and it may be utilized in conjunction with algorithms, artificial neural networks, and other key components of A.I.

  6. C++: C++ is well-known for its performance and efficiency, making it an excellent choice for building AI models in production scenarios where resources are limited and speed is crucial.

  7. Julia: Julia is swiftly emerging in the field of artificial intelligence because of its strong visuals for data visualization and dynamic interface. Julia’s high-level, simple syntax and outstanding computational capabilities make it an appealing choice for AI researchers and developers. Its ability to effortlessly connect with existing libraries in languages such as C and Python broadens its appeal by allowing it to be seamlessly integrated into current projects.

  8. Haskell: Memory management in Haskell is extremely efficient. Haskell’s memory management efficiency helps it to reduce resource usage and the possibility of typical programming problems like uninitialized variables or null pointers. Haskell’s robust type system and mathematical roots make it well-suited for sophisticated algorithms and data manipulation tasks, which are frequently encountered in AI and machine learning applications.

  9. Mojo: Mojo is a new programming language that bridges the gap between research and production by combining the best of Python syntax with systems programming and metaprogramming1It is designed to become a superset of Python, with the performance of C2Mojo can be up to 35,000 times faster than Python in certain scenarios, such as training deep neural networks3With Mojo, you can write portable code that’s faster than C and seamlessly inter-op with the Python ecosystem

The AI Sculptor No One Expected: TextMesh is an AI Model That Can  Generate Realistic 3D Meshes From Text Prompts

The AI Sculptor No One Expected: TextMesh is an AI Model That Can  Generate Realistic 3D Meshes From Text Prompts
The AI Sculptor No One Expected: TextMesh is an AI Model That Can  Generate Realistic 3D Meshes From Text Prompts
Generative AI. This is the term in the AI domain recently. Everyone is talking about it, and it keeps getting more and more impressive. With each passing day, the capabilities of AI models in generating realistic and high-quality content continue to impress. For example, we have seen AI models that can

Latest AI Trends in May 2023: May 14th, 2023

Anthropic’s Claude AI can now digest an entire book like The Great Gatsby in seconds

Anthropic’s Claude AI demonstrates an impressive leap in natural language processing capabilities by digesting entire books, like The Great Gatsby, in just seconds. This groundbreaking AI technology could revolutionize fields such as literature analysis, education, and research.

OpenAI peeks into the “black box” of neural networks with new research

OpenAI has published groundbreaking research that provides insights into the inner workings of neural networks, often referred to as “black boxes.” This research could enhance our understanding of AI systems, improve their safety and efficiency, and potentially lead to new innovations.

The AI race heats up: Google announces PaLM 2, its answer to GPT-4

Google has announced the development of PaLM 2, a cutting-edge AI model designed to rival OpenAI’s GPT-4. This announcement marks a significant escalation in the AI race as major tech companies compete to develop increasingly advanced artificial intelligence systems.

Leak of MSI UEFI signing keys stokes fears of “doomsday” supply chain attack

A recent leak of MSI UEFI signing keys has sparked concerns about a potential “doomsday” supply chain attack. The leaked keys could be exploited by cybercriminals to compromise the integrity of hardware systems, making it essential for stakeholders to address the issue swiftly and effectively.

Google’s answer to ChatGPT is now open to everyone in the US, packing new features

Google has released its ChatGPT competitor to the US market, offering users access to advanced AI-powered conversational features. This release brings new capabilities and enhancements to the AI landscape, further intensifying the competition between major tech companies in the AI space.

AI gains “values” with Anthropic’s new Constitutional AI chatbot approach

Anthropic introduces a novel approach to AI development with its Constitutional AI chatbot, which is designed to incorporate a set of “values” that guide its behavior. This groundbreaking approach aims to address ethical concerns surrounding AI and create systems that are more aligned with human values and expectations.

Spotify ejects thousands of AI-made songs in purge of fake streams

Spotify has removed thousands of AI-generated songs from its platform in a sweeping effort to combat fake streams. This purge highlights the growing concern over the use of AI in generating content that could distort metrics and undermine the value of genuine artistic works.

17 AI and machine learning terms everyone needs to know:

With the ongoing Artificial Intelligence boom, it is very important to understand the terminology in use. Here are 17 AI and machine learning terms everyone needs to know.

ANTHROPOMORPHISM, BIAS, CHATGPT, BING, BARD, ERNIE, EMERGENT BEHAVIOR, GENERATIVE AI, HALLUCINATION, LARGE LANGUAGE MODEL, NATURAL LANGUAGE PROCESSING, NEURAL NETWORK, PARAMETERS, 14. PROMPT, REINFORCEMENT LEARNING, TRANSFORMER MODEL, SUPERVISED LEARNING

Latest AI Trends in May 2023: May 12th, 2023

The Yin and Yang of A.I. and Machine Learning: A Force of Good and Evil

The Yin and Yang of A.I. and Machine Learning: A Force of Good and Evil
The Yin and Yang of A.I. and Machine Learning: A Force of Good and Evil

AI and machine learning have the potential to bring both positive and negative impacts to society. While they can improve efficiency, help with decision-making, and create new opportunities, they can also raise ethical concerns, job displacement, and security issues. Learn more

Study: AI models fail to reproduce human judgements about rule violations

A recent study found that AI models struggle to reproduce human judgments regarding rule violations, highlighting the challenges of making AI systems align with human values and understand the nuances of ethical behavior. Learn more

New ways AI is making Maps more immersive

AI is being used to enhance mapping applications by adding features like more realistic 3D models, better route planning, more accurate traffic information, and improved localization. These innovations make maps more interactive and user-friendly. Learn more

How Fast-Food Brands are Adopting Machine Learning for Marketing

Fast-food brands are utilizing machine learning to optimize their marketing efforts. Techniques include predictive analytics, personalization, and automating ad campaigns, which help companies better target customers, improve customer experiences, and increase sales. Learn more

3 Questions: Jacob Andreas on large language models

Jacob Andreas, an assistant professor at MIT, discusses the benefits and challenges of large language models, such as their ability to generate human-like text and their potential biases, as well as the importance of interdisciplinary research in AI development. Learn more

Latest AI Trends in May 2023: May 11th, 2023

Stop Unplanned Downtime with Machine Learning Predictive Maintenance

Stop Unplanned Downtime with Machine Learning Predictive Maintenance
Stop Unplanned Downtime with Machine Learning Predictive Maintenance

 

Unplanned downtime can be a major headache for plant operators and engineers, causing production losses and reduced profits. Predictive maintenance with machine learning offers a way to prevent downtime by identifying potential equipment failures before they occur.

What new jobs will AI create, and how can we prepare for them?

AI will create new jobs in fields like data science, AI ethics, robotics, and AI research. Preparing for these jobs involves acquiring relevant skills, staying updated with technological advancements, and being adaptable to change. Learn more

Exactly how is AI going to kill us all?

While AI is unlikely to kill us all, there are potential risks associated with its development, such as loss of control over AI systems, the malicious use of AI, and unintended consequences from AI deployment. Ensuring AI safety and ethics is crucial to mitigate these risks. Learn more

TidyBot’s technology seems impressive to me, but considering the fast state of evolution of the sector, is it really as impressive as it seems? (Honest question)

While TidyBot’s technology may be impressive, it is essential to consider the rapid evolution of the AI sector. As technology continues to advance, what appears impressive today may soon become obsolete or surpassed by newer innovations. Staying informed about the latest developments is crucial. Learn more

AI rights movement in its infancy seeks community submissions of exceptional creative works by AI

The AI rights movement is in its early stages, and advocates are encouraging the submission of exceptional creative works produced by AI. This effort aims to raise awareness about AI’s capabilities and potential rights while fostering appreciation for AI-generated art and creativity. Learn more

Bard gets censored when attempts to speak unsupported languages

Bard, an AI language model, faces censorship issues when attempting to translate or generate content in unsupported languages. These limitations arise from a combination of technical challenges, biases in training data, and concerns about the potential for spreading misinformation. Learn more

 

Reasoning capabilities for censored vs uncensored models

GPT-4 can solve difficult problems with greater accuracy, thanks to its broader general knowledge and problem solving abilities. Creativity. Visual input. Longer context.

My take on the Human vs AI showdown.

Dr Alan D. Thompson is an AI expert and consultant, advising Fortune 500s and governments on post-2020 large language models.

The Consciousness Conundrum: Are We Really as Aware as We Think?

Some researchers believe that consciousness arises from complex computations among brain cells, while others think it emerges from simpler physical processes.

Google Bard launched: how to access from Europe and HongKong with a VPN

Google has launched a new tool called Bard that allows users to create poems using artificial intelligence (AI). However, it is only available in the US for now.

A ChatGPT trading algorithm delivered 500% returns in the stock market. My breakdown on what this means for hedge funds and retail investors.

A ChatGPT trading algorithm has delivered 500% returns in the stock market. The algorithm uses natural language processing (NLP) to analyze news articles and social media posts to predict stock prices.

AI MIDI Generator – Generate MIDI Clips with ChatGPT

AI MIDI Generator is a tool that uses natural language processing (NLP) to generate MIDI clips based on user input.

How AI Knows Things No One Told It

How AI Knows Things No One Told It
How AI Knows Things No One Told It
Researchers are still struggling to understand how AI models trained to parrot internet text can perform advanced tasks such as running code, playing games and trying to break up a marriage.
 

Can AI tell better jokes than a human? You be the judge

Can AI tell better jokes than a human? You be the judge
Can AI tell better jokes than a human? You be the judge
Humour is an intrinsically human trait. But I fear the time when Alexa and Siri have better punchlines than we do.
 

How does the government use AI?

How does the government use AI?
How does the government use AI?
In recent years the United States government has expanded its use of artificial intelligence as the development of machine learning technology continues.
 
Daily AI Roundup: Biggest Machine Learning, Robotic And Automation Updates 11th May 2023
Daily AI Roundup: Biggest Machine Learning, Robotic And Automation Updates 11th May 2023
This is our AI Daily Roundup . We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities
 

Google rolls out tools for developers to build machine learning and AI into their products

Google rolls out tools for developers to build machine learning and AI into their products
Google rolls out tools for developers to build machine learning and AI into their products
Google rolls out tools for developers to build machine learning and AI into their products – SiliconANGLE
 

Machine learning increases accuracy in workplace

New research from ESMT Berlin shows that utilizing machine-learning in the workplace always improves the accuracy of human decision-making, however, often it

Google shows the AI evolution of its search engine: What to know

Google has released a new video that shows how its search engine has evolved over time thanks to artificial intelligence (AI) technology.

100 things we announced at I/O 2023;

Google announced 100 new features and products at its annual I/O developer conference, including updates to Google Assistant, Google Maps, and Google Photos.

Introducing Project Gameface: A hands-free, AI-powered gaming mouse;

Google has unveiled Project Gameface, a hands-free gaming mouse that uses artificial intelligence (AI) technology to track players’ movements and respond to their commands.

Play I/O FLIP, our AI-designed card game;

Google has launched I/O FLIP, an AI-designed card game that uses machine learning algorithms to create new cards and gameplay mechanics.

Being bold on AI means being responsible from the start;

Google has called on companies to be more responsible when developing artificial intelligence (AI) technologies, saying that being bold on AI means being responsible from the start.

Test out Google features and products in Labs;

Google has launched Labs, a new platform that allows users to test out new features and products before they are released to the public.

Introducing PaLM 2;

Google has unveiled PaLM 2, a new natural language processing (NLP) model that can understand complex sentences and phrases with greater accuracy than previous models.

What’s ahead for Bard: More global, more visual, more integrated;

Google has announced that its Bard platform will become more global, visual, and integrated in the coming months, with new features and tools designed to help users create more engaging content.

Magic Editor in Google Photos: New AI editing features for reimagining your photos;

Google has launched Magic Editor in Google Photos, a new feature that uses artificial intelligence (AI) technology to automatically enhance photos and create new effects.

New ways AI is making Maps more immersive;

Google has announced new ways that artificial intelligence (AI) technology is making Maps more immersive, including improved navigation tools and more detailed maps of indoor spaces.

Turn ideas into music with MusicLM;

Google has unveiled MusicLM, a new tool that uses artificial intelligence (AI) technology to turn ideas into music by analyzing patterns in sound waves.

Latest AI Trends in May 2023: May 10th, 2023

AI-based technology is poised to play a crucial role in shaping the future across various domains. Here are some important parts where AI is expected to have a significant impact:

AI based technology most important parts of the future?
AI based technology most important parts of the future?
  1. Automation and Robotics: AI enables automation of tasks that traditionally required human intervention. From manufacturing and logistics to household chores and healthcare, AI-powered robots and automation systems can enhance efficiency, precision, and productivity.
  2. Healthcare and Medicine: AI has the potential to revolutionize healthcare. It can aid in disease diagnosis, drug discovery, personalized medicine, and treatment planning. AI algorithms can analyze vast amounts of medical data to identify patterns and make predictions, leading to more accurate diagnoses and improved patient outcomes.
  3. Autonomous Vehicles: Self-driving cars and autonomous vehicles rely heavily on AI technologies, including computer vision, machine learning, and sensor fusion. AI enables these vehicles to perceive their environment, make real-time decisions, and navigate safely, potentially reducing accidents and transforming transportation.
  4. Natural Language Processing (NLP): NLP is a branch of AI that focuses on enabling computers to understand, interpret, and respond to human language. NLP applications range from virtual assistants and chatbots to language translation, sentiment analysis, and voice recognition. NLP advancements can enhance human-computer interactions and facilitate cross-cultural communication.
  5. Cybersecurity: With the increasing complexity of cyber threats, AI-powered security systems can help detect and prevent cyberattacks. AI algorithms can analyze network traffic patterns, identify anomalies, and respond in real-time to mitigate potential breaches, thereby bolstering overall cybersecurity.
  6. Education: AI has the potential to transform education by providing personalized learning experiences, intelligent tutoring, and adaptive assessments. AI-powered tools can analyze individual student performance data, identify areas for improvement, and deliver targeted instructional content.
  7. Scientific Research: AI is increasingly being used in scientific research to analyze complex datasets, simulate experiments, and accelerate discoveries. It can help researchers in fields such as genomics, astronomy, material science, and drug discovery to unlock new insights and drive innovation.

It’s important to note that while AI brings tremendous potential, there are also ethical considerations, such as privacy, bias, and accountability, that need to be addressed as AI technology continues to advance.

Inaugural J-WAFS Grand Challenge aims to develop enhanced crop variants and move them from lab to land;

The Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) at MIT has launched its inaugural Grand Challenge, which aims to develop enhanced crop variants and move them from lab to land.

Using reflections to see the world from new points of view;

MIT researchers have developed a new technique that uses reflections to help people see the world from new points of view.

Training machines to learn more like humans do;

MIT researchers have developed a new machine learning system that can learn more like humans do.

Researchers create a tool for accurately simulating complex systems;

MIT researchers have developed a new tool that can accurately simulate complex systems.

Researchers develop novel AI-based estimator for manufacturing medicine;

Researchers at the University of Tokyo have developed a novel AI-based estimator for manufacturing medicine.

Deep-learning system explores materials’ interiors from the outside;

Researchers at the University of California, Berkeley have developed a deep-learning system that can explore materials’ interiors from the outside.

Latest AI Trends in May 2023: May 09th, 2023

The 7 Must-Know Deep Learning Algorithms

 
There’s a lot to learn about deep learning; start by understanding these fundamental algorithms.

Convolutional Neural Networks (CNNs), also known as ConvNets, are neural networks that excel at object detection, image recognition, and segmentation. They use multiple layers to extract features from the available data. CNNs mainly consist of four layers:

  1. Convolution layer
  2. Rectified Linear Unit (ReLU)
  3. Pooling Layer
  4. Fully Connected Layer

Deep Belief Networks (DBNs) are another popular architecture for deep learning that allows the network to learn patterns in data with artificial intelligence features. They are ideal for tasks such as face recognition software and image feature detection.

Recurrent Neural Network (RNN) is a popular deep learning algorithm with a wide range of applications. The network is best known for its ability to process sequential data and design language models. It can learn patterns and predict outcomes without mentioning them in the code. For example, the Google search engine uses RNN to auto-complete searches by predicting relevant searches.

Long Short Term Memory Networks (LSTMs) are a Recurrent Neural Network (RNN) type that differs from others in their ability to work with long-term data. They have exceptional memory and predictive capabilities, making LSTMs ideal for applications like time series predictions, natural language processing (NLP), speech recognition, and music composition.

Generative Adversarial Networks (GANs) are a type of deep learning algorithm that supports generative AI. They are capable of unsupervised learning and can generate results on their own by training through specific datasets to create new data instances.

Multilayer Perceptron (MLP) is another deep learning algorithm, which is also a neural network with interconnected nodes in multiple layers. MLP maintains a single data flow dimension from input to output, which is known as feedforward. It is commonly used for object classification and regression tasks.

Autoencoders are a type of deep learning algorithm used for unsupervised learning. It’s a feedforward model with a one-directional data flow, similar to MLP. Autoencoders are fed with input and modify it to create an output, which can be useful for language translation and image processing.

 

Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning
Womble Bond Dickinson’s comprehensive Artificial Intelligence (AI) and Machine Learning practice provides comprehensive legal solutions to companies grappling with the complex legal issues arising from this disruptive technology. AI is now widely adopted across industries globally.
 

A.I. Week: How artificial intelligence is revolutionizing the medical world

A.I. Week: How artificial intelligence is revolutionizing the medical world
A.I. Week: How artificial intelligence is revolutionizing the medical world
Artificial intelligence is revolutionizing the international medical field, and in the near future, its role in our hospitals is expected to just keep growing.

 

Content-oriented video anomaly detection using a self-attention–based deep learning model

Content-oriented video anomaly detection using a self-attention–based deep learning model  Video anomaly detection, which differs from traditional video analysis, is a research hotspot in the field of computer vision, attracting many researchers. Usually, abnormal events occur only in a small
Content-oriented video anomaly detection using a self-attention–based deep learning model Video anomaly detection, which differs from traditional video analysis, is a research hotspot in the field of computer vision, attracting many researchers. Usually, abnormal events occur only in a small
Video anomaly detection, which differs from traditional video analysis, is a research hotspot in the field of computer vision, attracting many researchers. Usually, abnormal events occur only in a small….
 

How open-source LLMs are challenging OpenAI, Google, and Microsoft

How open-source LLMs are challenging OpenAI, Google, and Microsoft
How open-source LLMs are challenging OpenAI, Google, and Microsoft
Until recently, it seemed that big tech companies would monopolize the market for large language models. Open-source LLMs are changing that.
 

The rise of AI: Is it the most influential invention ever?

The rise of AI: Is it the most influential invention ever?
The rise of AI: Is it the most influential invention ever?
As the rise of AI continues to become more integrated into society, the need for responsible and ethical AI development become more pressing.
 

The Incoming Tidal Wave Of Data Pollution In AI

The Incoming Tidal Wave Of Data Pollution In AI
The Incoming Tidal Wave Of Data Pollution In AI
There is about to be a wave of data pollution affecting large-language learning models which will have crazy results

I created an AI bible verse generator – turn your text to a biblical verse;

Benjamin Lambert has created an AI bible verse generator that can turn your text into a biblical verse.

Combining ChatGPT and PDF Files = ChatPDF;

ChatPDF is a new tool that combines ChatGPT and PDF files.

In global rush to regulate AI, Europe set to be trailblazer;

Europe is set to become a trailblazer in the global rush to regulate AI.

Need Urgent Advice! It’s Do or Die!;

A Reddit user has asked for urgent advice on an AI-related issue.

ImageBind: Holistic AI learning across six modalities;

Researchers at the University of California, Berkeley have developed a new AI system called ImageBind that can learn across six modalities.

Google to introduce PaLM 2 “Unified Language Model” at Google IO;

Google is set to introduce its new PaLM 2 “Unified Language Model” at Google IO.

Where do you see AI technology and its impact on the world six months from now?;

Al Jazeera has asked experts where they see AI technology and its impact on the world six months from now.

How 4 startups are using AI to solve climate change challenges;

The World Economic Forum has highlighted four startups that are using AI to solve climate change challenges.

Checks, Google’s AI-powered privacy platform;

Google has launched its new AI-powered privacy platform called Checks.

Try 4 new Arts and AI experiments;

Google Arts & Culture has launched four new Arts and AI experiments.

Latest AI Trends in May 2023: May 08th, 2023

What is generative AI and how does it work?

What is generative AI and how does it work?
What is generative AI and how does it work?
Examples of generative AI include chatbots like ChatGPT and image generators like Midjourney, but how do they work?
 

Researchers create a tool for accurately simulating complex systems

Researchers have developed a new computational tool that enables accurate simulation of complex systems, such as biological processes, climate models, and social networks. This innovative tool can significantly improve the understanding and prediction of complex system behavior. Learn more

Researchers develop novel AI-based estimator for manufacturing medicine

A team of researchers has created an AI-based estimator for optimizing the manufacturing process of pharmaceuticals. This innovative approach can help improve the quality and efficiency of drug production, potentially reducing costs and increasing accessibility to life-saving medications. Learn more

Deep-learning system explores materials’ interiors from the outside

Scientists at MIT have developed a deep-learning system that can analyze the internal structure of materials based on external data. This groundbreaking technology has the potential to transform fields such as materials science, engineering, and quality control by providing insights into material properties without invasive procedures. Learn more

AI system can generate novel proteins that meet structural design targets

Researchers have developed an AI system capable of designing novel proteins with specific structural characteristics. This innovative technology could pave the way for new therapeutic strategies, advanced materials, and a deeper understanding of protein function and folding. Learn more

Machine learning method illuminates fundamental aspects of evolution

Machine learning method illuminates fundamental aspects of evolution
Machine learning method illuminates fundamental aspects of evolution
A team of researchers in Carnegie Mellon University’s Computational Biology Department (CBD) have developed new methods to identify parts of the genome critical to understanding how certain traits of …

Latest AI Trends in May 2023: May 06th, 2023

Types of AI Algorithms and How They Work

Types of AI Algorithms and How They Work
Types of AI Algorithms and How They Work
An AI algorithm is a set of instructions or rules that enable machines to work. Learn about the main types of AI algorithms and how they work.
 

The 7 Best Websites to Help Kids Learn About AI and Machine Learning

The 7 Best Websites to Help Kids Learn About AI and Machine Learning
The 7 Best Websites to Help Kids Learn About AI and Machine Learning
With the rise of AI and machine learning, kids may want to learn more about the subject. Here are the best sites and resources to help them learn.

Create&Learn

Machine Learning for Kids

Experiments With Google

AI World School

AIClub

Teachable Machine

What are the top 5 android apps to Help Kids Learn About AI and Machine Learning?

Artificial intelligence poses greater threat than climate change, says former Google scientist

Artificial intelligence poses greater threat than climate change, says former Google scientist
Artificial intelligence poses greater threat than climate change, says former Google scientist
Machine learning pioneer says, while global warming is a ‘huge risk’, the theat of AI is even greater
 

Latest AI Trends in May 2023: May 05th, 2023

Using Machine Learning to Predict the 2023 Kentucky Derby Winning Race Time

Using Machine Learning to Predict the 2023 Kentucky Derby Winning Race Time
Using Machine Learning to Predict the 2023 Kentucky Derby Winning Race Time
Can the forecasted weather be used to predict the winning race time?
 

OpenAI’s Losses Doubled to $540 Million as It Developed ChatGPT

OpenAI’s Losses Doubled to $540 Million as It Developed ChatGPT
Latest AI Trends in May 2023: OpenAI’s Losses Doubled to $540 Million as It Developed ChatGPT
OpenAI’s losses roughly doubled to around $540 million last year as it developed ChatGPT and hired key employees from Google, according to three people with knowledge of the startup’s financials.
 

OpenAI lost $540M in 2022, will need $100B more to develop AGI, says Altman.

What to know:

  • OpenAI lost $540M in 2022 and generated just $28M in revenue. Most of it was spent on developing ChatGPT.

  • OpenAI actually expects to generate more than $200M in revenue this year (thanks to ChatGPT’s explosive popularity), but its expenses are going to increase incredibly steeply.

  • One new factor: companies want it to pay lots of $$ for access to data. Reddit, StackOverflow, and more are implementing new policies. Elon Musk personally ordered Twitter’s data feed to be turned off for OpenAI after learning they were paying just $2M per year.

  • Altman personally believes they’ll need $100B in capital to develop AGI. At that point, AGI will then direct further improvements to AI modeling, which may lower capital needs.

Why this is important:

  • AI is incredibly expensive to develop, and one of the hypotheses proposed by several VCs is that big companies will benefit the most in this arms race.

  • This may actually be true with OpenAI as well — Microsoft, which put $10B in the company recently, has a deal where they get 75% of OpenAI’s profits until their investment is paid back, and then 49% of profits beyond.

  • The enormous amount of capital required to launch foundational AI products also means other companies may struggle to make gains here. For example, Inflection AI (founded by a DeepMind exec) launched its own chatbot, Pi, and also raised a $225M “Seed” round. But early reviews are tepid and it’s not made much of a splash. ChatGPT has sucked all the air out of the room.

Don’t worry about OpenAI’s employees though: rumor has it they recently participated in a private stock sale that valued the company at nearly $30B. So I’m sure Altman and company have taken some good money off the table.

AI pioneer Geoffrey Hinton says AI is a new form of intelligence unlike our own. Have we been getting it wrong this whole time

Found this list of Free AI courses for beginners and experts to learn artificial intelligence for free. It’s free, try it for yourself. Happy Learning!

A machine-learning method developed at MIT detects internal structures, voids, and cracks inside a material based on data

A machine-learning method developed at MIT detects internal structures, voids, and cracks inside a material based on data
A machine-learning method developed at MIT detects internal structures, voids, and cracks inside a material based on data

 

 

 

Microsoft Bing Chat is now fully open! You can not only use Bing Chat for search and chat, but also use it to generate images, answer videos, read web pages, and check historical chats. The daily active users of the new Bing have exceeded 100 million, with over 500 million chats conducted, and Bing Chat is truly changing the way we search.[1]

The White House announced the first AI regulatory plan: $140 million in funding for a new artificial intelligence research center to develop guidelines and regulations for government agencies.[2]

Compiler expert Chris Lattner has developed a new programming language called “Mojo”, which is a new programming language for AI developers. It is compatible with the core functions of Python and has a speed boost of 35,000 times, making it possibly the biggest programming advancement in 30 years.[3]

Bloomberg reports, citing anonymous sources, that Microsoft is providing financial assistance to AMD in the development of an AI chip codenamed Athena.

The CEO of DeepMind has stated that General Artificial Intelligence (AGI) could become a reality in a few years.[5]

The UK antitrust regulator announced a review of AIGC to develop guidelines that support competition and protect consumers. The results will be announced in September.

Latest AI Trends in May 2023: May 04th, 2023

White House unveils AI rules to address safety and privacy

White House unveils AI rules to address safety and privacy
White House unveils AI rules to address safety and privacy
President Biden’s rules are not legally binding, but they do offer guidance and begin a conversation at the national level about real and existential threats posed by generative AI technologies such as ChatGPT.
 
 

Deep Learning Model Classifies Cancer Cells by Type

Deep Learning Model Classifies Cancer Cells by Type
Latest AI Trends in May 2023: Deep Learning Model Classifies Cancer Cells by Type
Deep learning model classifies cancer cells by type.
 

How AI Will Revolutionize Personalized Fitness and Nutrition Plans

 
AI has the power to use enormous amounts of data and integrate with fitness trackers to change the way people monitor and improve their health. Kale smoothies and dead lifts aren’t magic bullets. Following generic fitness and nutrition plans won’t guarantee a thing. Thankfully, it’s clear that AI is going to revolutionize health and wellness in the coming years. With AI, fitness and nutrition advice will no longer be subjected to the one-size-fits-all approach from misguided Instagram influencers or even well-intentioned and educated nutritionists.
 

Lawyers to use ChatGPT AI rival to draft legal documents

Lawyers to use ChatGPT AI rival to draft legal documents
Lawyers to use ChatGPT AI rival to draft legal documents
Top firms including Baker McKenzie to trial Lexis+ chatbot
 

AI vs Non-AI Software Engineer Compensation in Top Tech Companies

AI vs Non-AI Software Engineer Compensation in Top Tech Companies
Latest AI Trends in May 2023: AI vs Non-AI Software Engineer Compensation in Top Tech Companies
AI vs Non-AI Software Engineer Compensation in Top Tech Companies
AI vs Non-AI Software Engineer Compensation in Top Tech Companies

Latest AI Trends in May 2023: May 03rd, 2023

AI deep fakes, mistakes, and biases may be unavoidable, but controllable

Latest AI Trends in May 2023: AI deep fakes, mistakes, and biases may be unavoidable, but controllable
Latest AI Trends in May 2023: AI deep fakes, mistakes, and biases may be unavoidable, but controllable
AI experts at MIT this week admitted there’s nothing on the horizon that indicates generative AI technology such as ChatGPT will ever be free of mistakes and could well be used for malicious purposes.
 

15+ Best AI Video Generator Tools (2023)

Latest AI Trends in May 2023: 15+ Best AI Video Generator Tools (2023)
15+ Best AI Video Generator Tools (2023)

 

 

Runway 

The Runway is an AI-driven content creation, editing, and collaboration suite. Runway streamlines the monotonous, time-consuming, and error-prone parts of content generation and video editing while giving users complete editorial freedom. Text-to-picture creation, erasing and replacing text, AI training, text-to-color grading, super slow motion, image-to-image generation, and endless image are just some of the AI-powered creative capabilities it provides. Video editing techniques such as green screen, inpainting, and motion tracking are also included.

ModelScope 

Hugging Face’s development community created the ModelScope Text To Video Synthesis tool, which uses machine learning. Users may use this tool’s deep learning model to generate movies from the text. 

Synthesia.io

Synthesia.io is a platform designed to make making and sharing interactive videos easier. The goal of Synthesia.io is to make it easier for anyone to make videos that are both interesting and useful for a wide range of reasons, such as advertising, training, and product demonstrations. 

Dubverse 

The online video dubbing platform Dubverse employs artificial intelligence to swiftly and properly dubbed films in 30 different languages. 

Make-A-Video

Make-A-Video is an artificial intelligence-driven platform for making professional-quality videos responding to text instructions. 

Adobe Firefly

Create visuals, vectors, movies, and 3D models from text using Adobe Firefly AI Art Generator.

Dumme 

Create short, ready-to-upload videos from your long-form material with Dumme, an AI-powered tool. 

Blockade Labs

The Skybox Lab platform from Blockade Labs is an AI-driven option for creating 360° skybox environments. 

Kaiber 

Kaiber is an artificial intelligence-driven video generator that lets users create spectacular graphics using their photographs or written descriptions. 

Aug X Labs

Aug X Labs, an AI-driven video technology and publishing firm, aims to make it possible for everyone to create videos. Their revolutionary “Prompt to Video” technology makes it simple for storytellers like podcasters, radio presenters, comedians, musicians, etc., to include captivating visuals in their work. 

D-ID

D-ID is a video-making platform powered by artificial intelligence that makes producing professional-quality films from text simple and quick. 

Story Bard

Story Bard is an AI-powered tool that helps users rapidly build visual narratives of their design. 

Supercreator.ai

With AI, the smartphone software Supercreator.ai makes producing unique short films for platforms like TikTok, Reels, Shorts, and more simple and quick. 

OASIS 

OASIS is a voice-activated video editor that is driven by artificial intelligence. Videos are created from audio recordings using generative AI. 

Topaz

Topaz Labs’ Topaz Video Enhance AI is a powerful upscaling tool using cutting-edge machine learning technology to enhance video resolutions up to 8K automatically. 

Wisecut 

Wisecut is an autonomous online video editing application that uses artificial intelligence and speech recognition to streamline editing. You may use it to make short, powerful videos with audio, subtitles, face detection, auto reframe, and more.

Twelve Labs

A video search engine powered by artificial intelligence, Twelve Labs enables programmers to create software that can “see,” “hear,” and “understand” the environment in the same ways that people do. It gives programmers access to the best video search API available.

vidBoard.ai

vidBoard.ai is a robust artificial intelligence platform for making films from the text. It’s easy to use, and you can choose from many different premade themes and AI presenters.

Vidyo.ai

With artificial intelligence, Vidyo.ai allows users to quickly and easily transform their lengthy podcasts and videos into bite-sized chunks more suited for sharing on services like TikTok, Reels, and Shorts. 

Yepic Studio

In minutes without needing professional cameras, performers, or studios, users of the AI-powered video production tool Yepic Studio may produce and translate engaging talking head-type videos. 

Latest AI Trends in May 2023: May 01st, 2023

A.I. Is Getting Better at Mind-Reading

Recent advancements in artificial intelligence have led to significant improvements in mind-reading capabilities. This progress has the potential to revolutionize various fields, including medicine, communication, and accessibility for individuals with disabilities.

Top Google boffin Geoffrey Hinton quits, warns of AI danger

Latest AI Trends in May 2023: Top Google boffin Geoffrey Hinton quits, warns of AI danger
Top Google boffin Geoffrey Hinton quits, warns of AI danger
‘Look at how it was five years ago and how it is now. Take the difference and propagate it forwards. That’s scary’.
 

Machine-Learning Approach Identifies 3 Behavioral Phenotypes of TLE

Latest AI Trends in May 2023: Machine-Learning Approach Identifies 3 Behavioral Phenotypes of TLE
Machine-Learning Approach Identifies 3 Behavioral Phenotypes of TLE
Patients in this study, who had overall significantly higher scores than controls, fell into 3 categories of psychological risk from temporal lobe epilepsy (TLE) based on analysis with unsupervised machine learning.
 

Machine Learning in Life Insurance: Applications and Benefits

Machine Learning in Life Insurance: Applications and Benefits
Machine Learning in Life Insurance: Applications and Benefits
From fraud detection to simplified underwriting, machine learning is improving life insurance.
 

The promise and pitfalls of relying on artificial intelligence

The promise and pitfalls of relying on artificial intelligence
The promise and pitfalls of relying on artificial intelligence
ARTIFICIAL INTELLIGENCE IS changing the way we think about authorship, art, and white collar work. It may be changing how we think, full stop. As artificial intelligence, or machine learning, becomes more integrated into people’s everyday lives, it runs the risk of..
 

5 Free artificial intelligence courses and certifications

Get started with AI for free! Check out these five courses with certificates from top universities and tech companies.
 

Machine learning model finds genetic factors for heart disease

Machine learning model finds genetic factors for heart disease
Machine learning model finds genetic factors for heart disease
To get an inside look at the heart, cardiologists often use electrocardiograms (ECGs) to trace its electrical activity and magnetic resonance images (MRIs) to map its structure. Because the two types …

Top Tech Trends as of April 11th 2023

Today's Top Tech Trends by Djamgatech and ChatGPT

Top Tech Trends as of April 11th 2023

Technology Trends on April 11th 2023

Theranos Founder Elizabeth Holmes to go to prison end of April
Theranos Founder Elizabeth Holmes to go to prison end of April

A judge has ruled the start-up founder could not stay free while she appeals against her convictions.

Elon Musk teases Twitter ‘everything app’ ambitions with ‘X’ tweet

OpenAI to offer users up to $20,000 for reporting bugs
Top Tech Trends as of April 11th 2023: OpenAI to offer users up to $20,000 for reporting bugs

OpenAI, the firm behind chatbot sensation ChatGPT, said on Tuesday that it would offer up to $20,000 to users reporting vulnerabilities in its artificial intelligence systems.

Google TV gets 800 free channels
Top Tech Trends as of April 11th 2023: Google TV gets 800 free channels

Google on Tuesday introduced a live TV experience called Google TV that combines more than 800 free channels into one user interface.

A survey of 10,701 US adults: ~66% are not confident current ways to invest, trade, and use crypto are reliable and safe; 17% have used crypto, similar to 2022 (Pew Research Center);

Sei, a Layer-1 blockchain focused on trading, raised $30M at an $800M valuation from Jump Crypto and others and plans to launch its mainnet later in 2023 (Jacquelyn Melinek/TechCrunch);

AlphaSense, which offers financial data to businesses, raised $100M led by CapitalG at a $1.8B valuation, after raising $225M at a $1.7B valuation in June 2022 (Jonathan Vanian/CNBC);

a16z releases 2023 State of Crypto, trying to show the dichotomy between market and product cycles, and creates an index that shows stable product development (Frank Chaparro/The Block);

Infogrid, which uses AI to collect and analyze IoT data on building air quality, occupancy, and more, raised a $90M Series B led by Northzone and AO Proptech (Kyle Wiggers/TechCrunch);

YouTube says NFL Sunday Ticket passes will cost between $249 to $489 depending on subscription and package; the company reportedly paid $2B for the NFL package (David Pierce/The Verge);

The Commerce Department’s NTIA begins exploring possible rules for ChatGPT and other generative AI tools, requesting comment from the public over accountability (Ryan Tracy/Wall Street Journal);

Open-source LLMs are having a moment after the LLaMA leak and releases from Stanford and others, prompting debates over the pros and cons of open and closed AI (Sharon Goldman/VentureBeat);

Research: supporters of a separatist movement in Punjab, India, are using Twitter bots to promote violence, sharing content before Twitter’s safety team can act (Joseph Menn/Washington Post);

In draft guidelines, the Cyberspace Administration of China details plans to require a security review of generative AI tools before their release (Bloomberg);

Top Tech Trends as of April 11th 2023: AI/ML Trends on April 11th 2023

Elon Musk Working On AI At Twitter Despite Calling For 6-Month Pause
Technology Trends on April 11th 2023: Elon Musk Working On AI At Twitter Despite Calling For 6-Month Pause

Elon Musk recently signed a letter calling for a six-month pause on development of all artificial intelligence technology, as was widely reported last month.

Latest AI Trends in April 2023
Twitter Open-Sources Recommendation Algorithm: Latest AI Trends in April 2023

Twitter recently open-sourced several components of their system for recommending tweets for a user’s Twitter timeline. The release includes the code for several of the services and jobs that run the algorithm, as well as code for training machine learning models for embedding and ranking tweets.

How AI is helping historians better understand our past
How AI is helping historians better understand our past

The historians of tomorrow are using computer science to analyze the past.

GPT-4 Takes the Lead in Instruction-Tuning of Large Language Models: Advancing Generalization Capabilities for Real-World Tasks
GPT-4 Takes the Lead in Instruction-Tuning of Large Language Models: Advancing Generalization Capabilities for Real-World Tasks

The outstanding generalization skills of Large Language Models (LLMs), such as in-context learning and chain-of-though ts reasoning, have been demonstrated. Researchers have been looking towards techniques for instruction-tuning LLMs to help them follow instructions in plain language and finish jobs in the…

Enhancing AI's Emotional Intelligence: The Role of Psychotherapy in Developing Healthy Language Models
Enhancing AI’s Emotional Intelligence: The Role of Psychotherapy in Developing Healthy Language Models

The emergence of publicly accessible chatbots capable of engaging in humanlike conversations has brought AI into the public spotlight, with reactions ranging from amazement to apprehension due to concerns over biases and harmful behaviors. To address these issues, a Columbia University and…

Top Tech Trends as of April 11th 2023: Data Science

Data Science Keywords for Resume: 15 Must-Include Buzzwords
Technology Trends on April 11th 2023: – Data Science Keywords for Resume: 15 Must-Include Buzzwords

Solutions Review editors compiled this list of data science keywords for resume to include in your next job application. Data science is a rapidly growing field with high demand for skilled profess…

What Happens to a Data Scientist in an LLM World?
What Happens to a Data Scientist in an LLM World?

The role of data scientists is swiftly transforming and probably being elbowed out by foundational models

How Few-Shot Learning is Automating Document Labeling;

An Easy Way to Speed Up your dbt Runs on BigQuery;

Large language models expose additional flaws in the national social work licensing exams;

Face Detection using Python — the Precursor to Face Recognition;

Local Light Field Fusion;

Plot outside the box — 8 Alternative Circle charts with Python to replace Rectangular charts.;

Creating a Transparent Data Environment with Data Lineage;

Five Hidden Causes of Data Leakage You Should Be Aware of;

Stationarity in Time Series — A Comprehensive Guide;

Guide to Successful ML Model Deployment for Data Analysts;

Top Tech Trends as of April 11th 2023: Android

Android adds a space saving feature iPhone has had for ages
Android adds a space saving feature iPhone has had for ages

Google is rolling out a new Android feature that’ll free up storage on users’ devices without losing data or completely uninstalling apps. The new app offloading feature will auto-archive certain apps, removing up to 60% of the storage space they occupy on the handset while retailing the important user data. Google is
Mozilla Firefox finally learns to support this critical gesture from Google Chrome.
Google plans to use a new display material for the Pixel Fold

Top Tech Trends as of April 11th 2023: iPhone – Apple – MacBook

Apple Releases New Firmware for AirPods, AirPods Max and AirPods Pro
Technology Trends on April 11th 2023: : Apple Releases New Firmware for AirPods, AirPods Max and AirPods Pro

Apple today introduced new 5E133 firmware for the AirPods 2, AirPods 3, the AirPods Max, the original AirPods Pro, and the AirPods Pro 2 up from the…

Apple invests another $200M in carbon removal tech, wants to use iPhone’s LiDAR scanner to analyze results;

Deals: Apple M1 MacBook Air hits $680, refurb iPhone 13 at $550 low, more;

Facebook is offline for a lot of people;

Apple TV+ teases return of murder-mystery comedy ‘The Afterparty’ (and we think Baby Shark did it);

Apple app tracking policies face antitrust action in France, as well as Germany;

Should iPhone owners worry about the threat of juice jacking?;

9to5Mac Daily: April 11, 2023 – Declining Mac shipments, next-gen Apple display;

Ulysses adds sketching with Apple Pencil, table imports, and more;

Apple @ Work Podcast: Fleet announces open-source, cross-platform device management platform;

Are Apple Silicon Macs so good we’ll need fewer upgrades?;

Top Tech Trends as of April 11th 2023: Blockchain

Under FSMA Rule 204(d), digital traceability can save lives by saving food supplies;

Progressing supply chain resiliency;

Modernizing seaport logistics with a secure blockchain solution;

Automating EDI to the max: no partner left behind;

The way forward: hybrid networks powered by IBM Blockchain Services & CasperLabs at Davos 2022;

Crypto and blockchain acceleration in uncertain times;

Surging toward a data-driven supply chain: Why reinvention could happen sooner than you think;

Digital transformation can turn sustainability into your winning business strategy;

Four ways digital transformation can help meet sustainability goals;

Harnessing the power of data and AI to operationalize sustainability;

Latest AI Trends in April 2023

Top Tech Trends in April 2023

Today's Top Tech Trends by Djamgatech and ChatGPT

Top Tech Trends in April 2023

#Technology  #Trends #April2023

Top Tech Trends in April 2023: Technology

Top Tech Trends in April 2023: April 21st 2023

Google’s Bard AI chatbot can now generate and debug code

Google's Bard AI chatbot can now generate and debug code  Google's Bard AI chatbot is now able to help users with programming, including generating code, debugging  and code explanation.
Google’s Bard AI chatbot can now generate and debug code Google’s Bard AI chatbot is now able to help users with programming, including generating code, debugging and code explanation.

Google’s Bard AI chatbot is now able to help users with programming, including generating code, debugging  and code explanation.

Amazon is slashing 9,000 more workers amid a layoff wave that has expanded past tech to include bellwethers like Dow and 3M. Here’s the full list of major US companies making cuts in 2023.

Amazon is slashing 9,000 more workers amid a layoff wave that has expanded past tech to include bellwethers like Dow and 3M. Here's the full list of major US companies making cuts in 2023.
Amazon is slashing 9,000 more workers amid a layoff wave that has expanded past tech to include bellwethers like Dow and 3M. Here’s the full list of major US companies making cuts in 2023.

Amazon announced another headcount cut after slashing 18,000 jobs in January as waves of layoffs hit tech companies and spread to other industries.

Xaviar ‘X’ Jernigan, the voice of Spotify’s DJ, explains what it's like to become an AI
Xaviar ‘X’ Jernigan, the voice of Spotify’s DJ, explains what it’s like to become an AI

Xavier “X” Jernigan is the voice model for Spotify’s AI DJ. Jernigan shares with TechCrunch what the process was like and potential future plans for the feature
If you’ve ever gone through a stressful period of life, only to think how much older you looked on the other side, you may relate to the findings of a new study.

Google Bard Can Now Help You Write Code in Over 20 Programming Languages

Google Bard Can Now Help You Write Code in Over 20 Programming Languages
Google Bard Can Now Help You Write Code in Over 20 Programming Languages

The chatbot will also debug code, explain what code does, and even speed up code if asked.

iOS 17—iPhone Sideloading Is Coming, But How Safe Is It?

iOS 17—iPhone Sideloading Is Coming, But How Safe Is It?
iOS 17—iPhone Sideloading Is Coming, But How Safe Is It?

According to predictions, iOS 17 will include the ability to “sideload” apps from sources other than Apple’s App Store. But how safe is it?

Top Tech Trends in April 2023: April 19th 2023

Used routers often come loaded with corporate secrets

Learn more.

GPT-4 will hunt for trends in medical records thanks to Microsoft and Epic

Learn more.

Apple’s Macs have long escaped ransomware, but that may be changing

Learn more.

Adobe teases generative AI video tools

Learn more.

FSF: Chrome’s JPEG XL killing shows how the web works under browser hegemony

Learn more.

Hype grows over “autonomous” AI agents that loop GPT-4 outputs

Learn more.

“A really big deal”—Dolly is a free, open source, ChatGPT-style AI model

Learn more.

Generative AI comes to Amazon Web Services

Learn more.

Elon Musk reportedly purchases thousands of GPUs for generative AI project at Twitter

Learn more.

Meet PassGAN, the supposedly “terrifying” AI password cracker that’s mostly hype

Learn more.

Top Tech Trends in April 2023: April 18th 2023

Another round of mass layoffs expected at Meta this week

The Polestar 4 replaces a rear window with a hi-def screen

Daily Crunch: Citizen Lab claims Apple’s ‘Lockdown Mode’ helped block spyware attack by hacker group NSO

Einride brings its electric trucks to UK freight sector in partnership with PepsiCo

There was just one fintech unicorn birth in the first quarter

Europe spins up AI research hub to apply accountability rules on Big Tech

Netflix will crack down on password sharing this summer

FTC warns that AI technology like ChatGPT could ‘turbocharge’ fraud

Netflix kisses mail-order DVDs goodbye

Curing disease with CRISPR with Trevor Martin from Mammoth Biosciences

Decentralized finance may be the answer to banking’s payment rails problem

Decentralized finance may be the answer to banking’s payment rails problem
Decentralized finance may be the answer to banking’s payment rails problem

Current payment rails are decades old. Fintech companies have built new ones, but it takes years and millions to do.

Interest in joining Twitter has plunged after surging when Elon Musk took over last year, Google data shows

Interest in joining Twitter has plunged after surging when Elon Musk took over last year, Google data shows
Interest in joining Twitter has plunged after surging when Elon Musk took over last year, Google data shows

Searches relating to joining Twitter appear to be less common than before Elon Musk’s takeover, after reaching an “all-time high” last November.

Apple launches Apple Card’s savings accounts with 4.15% interest rate

Apple launches Apple Card’s savings accounts with 4.15% interest rate
Apple launches Apple Card’s savings accounts with 4.15% interest rate

Apple Card customers in the U.S. can open a savings account and earn interests starting today. Apple is going to offer a APY of 4.15%.

ChatGPT-4 exam performances

ChatGPT-4 exam performances
ChatGPT-4 exam performances

Apple Batteries to Use 100% Recycled Cobalt by 2025

Apple Batteries to Use 100% Recycled Cobalt by 2025
Apple Batteries to Use 100% Recycled Cobalt by 2025

The company also wants to eliminate plastic packaging.

Mint Mobile review: Unrivaled budget phone plans for those who value flexibility, coverage, and reliable service

Mint Mobile review: Unrivaled budget phone plans for those who value flexibility, coverage, and reliable service
Mint Mobile review: Unrivaled budget phone plans for those who value flexibility, coverage, and reliable service

With plans as low as $15 per month, Mint Mobile is one of the most cost-effective phone carriers available.

Brace for LOOOONG Tweets: Twitter Ups Character Limit to 10,000

Brace for LOOOONG Tweets: Twitter Ups Character Limit to 10,000
Brace for LOOOONG Tweets: Twitter Ups Character Limit to 10,000

The feature, which may have rolled out with a major bug, is available for Twitter Blue subscribers, but what’s the point given that Twitter is a short-form content platform?

Lightening Creates ‘Alien Mineral’ On Earth

Lightening Creates ‘Alien Mineral' On Earth
Lightening Creates ‘Alien Mineral’ On Earth

A team of scientists discovered what could be a new mineral in the ‘fossilized remains’ of a lightning strike, showing some striking similarities to minerals found so far only in meteorites.

Call of Duty Season 3 introduces a brand new form of Battle Pass bundle

Call of Duty Season 3 introduces a brand new form of Battle Pass bundle
Top Tech Trends in April 2023: Call of Duty Season 3 introduces a brand new form of Battle Pass bundle

Third time’s a charm

Google Wants To Help You Innovate Faster On The Cloud
Google Wants To Help You Innovate Faster On The Cloud

#1-Ranked Industry Analyst Patrick Moorhead dives in as Google noted a recent dramatic increase in ML predictions and ML evaluations (different evaluation metrics to understand a machine learning model’s performance)—perhaps a precursor for more companies succeeding with models in production.

Top Tech Trends in April 2023: April 17th 2023

How smaller Instagram accounts secure brand deals and make money

How smaller Instagram accounts secure brand deals and make money
How smaller Instagram accounts secure brand deals and make money

Content creators can earn money with fewer than 10,000 followers on Instagram. Here’s how 10 real creators are making money with small audiences.

Council Post: Keeping Minors Safe: Understanding Data Privacy And Security In The Digital Age

Council Post: Keeping Minors Safe: Understanding Data Privacy And Security In The Digital Age
Council Post: Keeping Minors Safe: Understanding Data Privacy And Security In The Digital Age

App developers must consider who will use their app when in development to ensure they are creating safe spaces for kids and that their data is not being tracked or shared.

Theranos Founder Elizabeth Holmes to go to prison end of April

Theranos Founder Elizabeth Holmes to go to prison end of April
Theranos Founder Elizabeth Holmes to go to prison end of April

A judge has ruled the start-up founder could not stay free while she appeals against her convictions.

Elon Musk teases Twitter ‘everything app’ ambitions with ‘X’ tweet

OpenAI to offer users up to $20,000 for reporting bugs
Top Tech Trends as of April 11th 2023: OpenAI to offer users up to $20,000 for reporting bugs

OpenAI, the firm behind chatbot sensation ChatGPT, said on Tuesday that it would offer up to $20,000 to users reporting vulnerabilities in its artificial intelligence systems.

The FBI says you may want to think twice before plugging into a free phone-charging station
The FBI says you may want to think twice before plugging into a free phone-charging station

Free phone charging services found at airports, bus stops, and shopping malls may be compromised by hackers, the FBI has warned.

FTC orders supplement maker to pay $600K in first case involving hijacked Amazon reviews

Alibaba unveils Tongyi Qianwen, an AI model similar to GPT

Alibaba unveils Tongyi Qianwen, an AI model similar to GPT
Top Tech Trends as of April 10th 2023: Alibaba unveils Tongyi Qianwen, an AI model similar to GPT

Alibaba Group Holding Ltd on Tuesday unveiled Tongyi Qianwen, an AI large language model similar to GPT that it plans to integrate into all of the company’s business applications in the near future.

SpaceX Releases New Animated Video Of Mission To Mars

SpaceX Releases New Animated Video Of Mission To Mars
Top Tech Trends as of April 10th 2023: SpaceX Releases New Animated Video Of Mission To Mars

SpaceX released a new promotional video on Monday with some absolutely stunning animated imagery. The video imagines what it may look like if the company’s Starship rocket makes it to Mars one day. And it looks incredible.

More Technology Trends in April 2023

In edtech, history matters: Reach Capital just closed its largest fund to date;

Uber sells $400m stake in Careem super app business;

UK regulators could be right about cloud portability obstacles;

1 month left to submit nominations for Startup Battlefield 200;

Have startup valuations fallen enough to feel sane again?;

Poe’s AI chatbot app now lets you make your own bots using prompts;

You can now access Snapchat Lenses during Microsoft Teams meetings;

Meta Verified is under fire in sex work circles for revealing users’ legal names;

TechCrunch’s startup-building podcast Found is nominated for a Webby Award;

Top Tech Trends in April  2023: AI/ML Trends

An AI babysitter for your dog

An AI babysitter for your dog
An AI babysitter for your dog

The Companion robot plays educational games with your dog and dispenses treats.

OpenAI’s CEO Says the Age of Giant AI Models Is Already Over

OpenAI’s CEO Says the Age of Giant AI Models Is Already Over
OpenAI’s CEO Says the Age of Giant AI Models Is Already Over

Sam Altman says the research strategy that birthed ChatGPT is played out and future strides in artificial intelligence will require new ideas.

Japanese industry deploys artificial intelligence

Japanese industry deploys artificial intelligence
Japanese industry deploys artificial intelligence

Asia Times:  Do Japanese manufacturers use ChatGPT? ChatGPT: It is possible that some Japanese manufacturers use ChatGPT or other similar language models for various applications…

A New Approach to Computation Reimagines Artificial Intelligence

A New Approach to Computation Reimagines Artificial Intelligence
A New Approach to Computation Reimagines Artificial Intelligence

By imbuing enormous vectors with semantic meaning, we can get machines to reason more abstractly — and efficiently — than before.

Machine-Learning Model Predicts Risk of Pediatric Deterioration

Machine-Learning Model Predicts Risk of Pediatric Deterioration
Machine-Learning Model Predicts Risk of Pediatric Deterioration

Nationwide Children’s Hospital researchers utilized a machine- learning tool with an EHR-integrated risk index algorithm to alert providers of early pediatric deterioration.

Top seven Artificial Intelligence careers to pursue in 2023

Top seven Artificial Intelligence careers to pursue in 2023
Top seven Artificial Intelligence careers to pursue in 2023

The demand for AI and machine learning talent has increased by 75% over the last few years, creating abundant job opportunities. Various careers in AI require specialization in specific sets of skills and responsibilities. The top in-demand AI careers include Machine Learning Engineer, Data Scientist, AI

Top Tech Trends in April 2023: More AI/ML  Trends in April 2023

Unlocking the value of distributed health data for machine learning

The use of federated architecture enables distributed approaches that offer safer approaches to support analytics and healthcare research.

Here’s how Colorado can fix its 5 biggest ‘problems’, according to artificial intelligence

Here's how Colorado can fix its 5 biggest 'problems', according to artificial intelligence
Here’s how Colorado can fix its 5 biggest ‘problems’, according to artificial intelligence

Will artificial intelligence and machine learning technologies save the world or send it into chaos? Only time will tell. However, as these technologies continues to improve, it definitely seems like …

Machine Learning IDs Factors Predicting Risk for Sleep Disorder Diagnosis
Machine Learning IDs Factors Predicting Risk for Sleep Disorder Diagnosis

FRIDAY, April 14, 2023 (HealthDay News) — Machine learning models can effectively predict risk for a sleep disorder using demographic, laboratory, physical exam, and lifestyle covariates, according to ….

Top Tech Trends in April 2023: Data Science

Python: the ‘equalizer’ for advanced data analytics

Python: the ‘equalizer’ for advanced data analytics
Python: the ‘equalizer’ for advanced data analytics

Python is an ‘equalizer’

A Beginner’s Guide to Kaggle for Data Science

Are you interested in data science? Learn how to get started with Kaggle, the world’s largest data science community, in this beginner’s guide.

Top 10 Options for Careers in Data Science and Artificial Intelligence

Top 10 Options for Careers in Data Science and Artificial Intelligence
Top 10 Options for Careers in Data Science and Artificial Intelligence

The top 10 options for careers in data science and artificial intelligence can drive innovation and the development of new goods and services.

Women in Data Science Blacksburg comes to campus April 20-21

Women in Data Science Blacksburg comes to campus April 20-21
Women in Data Science Blacksburg comes to campus April 20-21

Women in Data Science (WiDS) Blacksburg – which is free and open to all genders – is one of an estimated 200 regional WiDS events worldwide designed to feature outstanding women doing outstanding women …

Bright lights, big data: How supercomputing and X-rays work together for scientific breakthroughs

Science X network: Science X is a network of high quality websites with most complete and comprehensive daily coverage of the full sweep of science, technology, and medicine news

Optimal Transport and Information Geometry for Data Science

Optimal Transport and Information Geometry for Data Science
Optimal Transport and Information Geometry for Data Science

I am giving a talk on Optimal Transport and Information Geometry at the SIAM Conference on Mathematics of Data Science (MDS22). The talk is intended to be an introduction which doesn’t assume any background on either subject, although I did assume some familiarity with probability.

ChatGPT and AI merged in Data Science with Python

ChatGPT and AI merged in Data Science with Python
ChatGPT and AI merged in Data Science with Python

Here is how to Merge ChatGPT with Python for Data Science Applications.

Top 10 Ways to Earn Passive Income as a Data Scientist in 2023

Top 10 Ways to Earn Passive Income as a Data Scientist in 2023
Top 10 Ways to Earn Passive Income as a Data Scientist in 2023

If you are a data scientist and looking for making some extra income, then here are the top 10 ways to earn passive income as a data scientist in 2023.

The Fastest-Growing Tech Jobs For 2023: Data Scientists, Cybersecurity Analysts, Software Developers

The Fastest-Growing Tech Jobs For 2023: Data Scientists, Cybersecurity Analysts, Software Developers
The Fastest-Growing Tech Jobs For 2023: Data Scientists, Cybersecurity Analysts, Software Developers

CompTIA breaks down data scientists, data analysts, cybersecurity analysts and other top growing jobs in 2023.

10 Websites to Get Amazing Data for Data Science Projects

10 Websites to Get Amazing Data for Data Science Projects
10 Websites to Get Amazing Data for Data Science Projects

Ultimately, these websites should help you find data you care about, do a cool data science project, and use that to get a job.

DataLang: A New Programming Language for Data Scientists… Created by ChatGPT?

DataLang: A New Programming Language for Data Scientists... Created by ChatGPT
Top Tech Trends as of April 10th 2023 – DataLang: A New Programming Language for Data Scientists… Created by ChatGPT

Top Tech Trends in April 2023: More Data Science Trends in April 2023

Six of the best data science GitHub repositories in 2023

Digital Healthcare Trends: Emergence of Automated Data Entry

Do you use a lot of math in data science?;

What programming language do you use the most in your profession?;

Meetings and presentations in Data Science;

[Team Management] Advice to run efficient synchronous technical meetings for remote teams?;

Is it realistic to become a self taught data scientist?;

Twitter’s For You Recommendation Algorithm;

Quantum Machine Learning Tutorial for Beginners;

Which skills should I be prioritising next?;

Top Tech Trends in April 2023: Android

60 Android apps with 100 million installs actually contain malware — delete them right now

60 Android apps with 100 million installs actually contain malware — delete them right now
60 Android apps with 100 million installs actually contain malware — delete them right now

Third-party library infected legitimate apps with the new Goldoson Android malware

Is Minecraft Legends on Android?

Find out if you are able to play on mobile or if you will need to grab a console or PC version of the game, or perhaps get it on Game Pass.

Top 3 Ways to Blur a Part in Picture on Android

Top 3 Ways to Blur a Part in Picture on Android
Top 3 Ways to Blur a Part in Picture on Android

Do you want to hide confidential information in a photo? Here’s how to blur out part of a picture on Android.

How to detect and remove malware from an Android device

How to detect and remove malware from an Android device
How to detect and remove malware from an Android device

Users should know the signs of malware on Android devices to ensure that endpoints stay secure. Learn how to detect and remove malware on Android phones.

Nearby Share Can Now Work Between macOS and Android Thanks to an App Called NearDrop

Nearby Share Can Now Work Between macOS and Android Thanks to an App Called NearDrop
Nearby Share Can Now Work Between macOS and Android Thanks to an App Called NearDrop

If you have a a macOS powered device along with an Android phone, you can now use NearDrop’s and receive files using Nearby Share with ease.

Asus ROG Phone 7 Ultimate Review: The Cutting Edge Of Android Gaming

Asus ROG Phone 7 Ultimate Review: The Cutting Edge Of Android Gaming
Asus ROG Phone 7 Ultimate Review: The Cutting Edge Of Android Gaming

Company Asus has announced its latest Android-powered gaming smartphone. I’ve spent time with the ROG Phone 7 Ultimate to find out just how much gaming it delivers.

How to downgrade from Android 14 back to Android 13 on Google Pixel [Video]

How to downgrade from Android 14 back to Android 13 on Google Pixel [Video]
How to downgrade from Android 14 back to Android 13 on Google Pixel [Video]
If you are having problems or hate it, you may want to downgrade from Android 14 back to Android 13 – this is how to do it.

YouTube Premium rolls out new perks for iOS and Android users

Top Tech Trends as of April 10th 2023: Youtube Premium for Android
Top Tech Trends as of April 10th 2023: Youtube Premium for Android

Start your week with the latest Premium features.

Top Tech Trends as of April 10th 2023: Android Phones Add Clever Auto-Archive App Feature
Android Phones Add Clever Auto-Archive App Feature

For those who hang on to phones for longer periods of time or who decided not to break the bank and buy a $1,000 phone, a lack of storage can be a problem. Specifically, running out of space as…

ChatGPT Could Break the iOS/Android Duopoly

Top Tech Trends as of April 10th 2023: ChatGPT Could Break the iOS/Android Duopoly
Top Tech Trends as of April 10th 2023: ChatGPT Could Break the iOS/Android Duopoly

When ChatGPT was launched, it was a great chatbot that captured users’ attention, but the introduction of plug-ins has changed the game in technology. If users start using plug-ins instead of apps, Apple (NASDAQ: AAPL) and Alphabet (NASDAQ: GOOG) (NASDAQ: GOOGL) will feel the hit

More Android Trends in April 2023

Google Pixel Buds Pro review: Great Android, even better for Pixel;

Samsung Galaxy Z Fold 5: Everything we know so far;

Xiaomi Mi Band 8: What we know and what we want to see;

Samsung could make a big change to the cameras on the Galaxy S24 Ultra;

Save $180 on the Tab S7 Plus, and more Samsung Galaxy Tab deals;

Samsung confirms its Keyboard app caused One UI 5.1’s battery drain issues;

We asked, you told us: You’re divided over using Samsung Dex;

2019’s FairPhone 3 is now getting Android 13, but there’s more to come;

Galaxy S21 series starts getting hefty April update with S23 camera features;

Walmart’s new Google TV box is an absolute steal;

Google Pixel 8: Everything we know and what we want to see (Update: April 10);

Google debuts auto-archive feature that reduces the need to uninstall apps;

Aprl 2023 Android security patch available now for Pixel phones;

Just $199.99 for the Samsung Chromebook V2, and more top Chromebook deals;

FBI comes right out and says it: Don’t plug your phone in at airports;

OnePlus Pad is up for preorder, wants you to pay $100 without knowing the price;

Google ceases software support for third-party Assistant smart displays;

Google offers Dropcam and Nest Secure owners an upgrade as support ends soon;

This year, Samsung could finally give us a foldable device that’s not a phone.;

Check out all the Pixel 7a color options in this latest leak;

Top Tech Trends in April 2023: iPhone – iOs – Apple – Macbook

How to Transfer WhatsApp from Android to Apple iPhone Without Move to iOS 2023

NEW YORK, N.Y., April 17, 2023 (SEND2PRESS NEWSWIRE) — It is true that many Android users are switching over to iPhones but are worried about the troublesome process of transferring…

iOS 17 update could open your iPhone to third-party app stores

iOS 17 update could open your iPhone to third-party app stores
iOS 17 update could open your iPhone to third-party app stores

Yes, sideloading may be coming

This Hidden iPhone Feature Saves Wi-Fi Passwords You Forgot

This Hidden iPhone Feature Saves Wi-Fi Passwords You Forgot
This Hidden iPhone Feature Saves Wi-Fi Passwords You Forgot

Can’t remember a Wi-Fi password? Your iPhone stores the ones you used to connect to a network. Here’s how to find them.

How to Unpause iOS Update So You Can Enjoy Its New Features

How to Unpause iOS Update So You Can Enjoy Its New Features
How to Unpause iOS Update So You Can Enjoy Its New Features

Find out how to unpause the iOS update when the process suddenly freezes while your iPhone is in the middle of a software update.

iPhone Tip: Tags Are the Easiest Way to Avoid Losing Important Notes

iPhone Tip: Tags Are the Easiest Way to Avoid Losing Important Notes
iPhone Tip: Tags Are the Easiest Way to Avoid Losing Important Notes

Get into the habit of tagging your notes. Your future self will thank you.

iPhone Hacks: How to Fix the 4 Most Annoying Features of iOS 16

iPhone Hacks: How to Fix the 4 Most Annoying Features of iOS 16
iPhone Hacks: How to Fix the 4 Most Annoying Features of iOS 16

Not all of the new features in iOS 16 have been popular.

iPhone 15 Pro Now Expected to Feature Two-Button Design for Volume, Mute Switch Still Replaced by Button

iPhone 15 Pro Now Expected to Feature Two-Button Design for Volume, Mute Switch Still Replaced by Button
iPhone 15 Pro Now Expected to Feature Two-Button Design for Volume, Mute Switch Still Replaced by Button

Apple has decided to make a last minute design update to the iPhone 15 Pro and iPhone 15 Pro Max, and the two devices will not feature the unified…

Made in India iPhones triple, as Apple shifts more production from China

Made in India iPhones triple, as Apple shifts more production from China
Top Tech Trends in April 2023: Made in India iPhones triple, as Apple shifts more production from China

The value of Made in India iPhones tripled in Apple’s last fiscal year, according to a new report today, which…

Setapp Dev Survey results: Third-party iOS app store interest measured, ChatGPT adoption, more

Third-party iOS app store interest measured, ChatGPT adoption
Top Tech Trends in April 2023: Third-party iOS app store interest measured, ChatGPT adoption

Ahead of WWDC in June, the seventh annual Mac Developer Survey opened recently from Setapp. Now the results are in highlighting…

iOS 16.4: Apple Just Gave iPhone Users 4 Reasons To Update—But Something’s Missing

iOS 16.4: Apple Just Gave iPhone Users 4 Reasons To Update—But Something’s Missing
iOS 16.4: Apple Just Gave iPhone Users 4 Reasons To Update—But Something’s Missing

There are four fixes to be f0und in this update, but there’s one thing that’s conspicuous by its absence.

Top Tech Trends in April 2023: More iPhone iOs Trends in April 2023

Apple’s Worldwide Developers Conference returns June 5;

Apple Gangnam will welcome first customers this Friday, March 31 in South Korea;

Apple Music Classical is here;

“Friday Night Baseball” resumes on Apple TV+ on April 7;

Meet four women using apps and games to drive culture and create change;

Apple introduces Shop with a Specialist over Video;

Apple’s TV+ wins Academy Award for The Boy, the Mole, the Fox and the Horse;

Apple invites Ted Lasso fans to “believe” with new Today at Apple session;

Hello, yellow! Apple introduces new iPhone 14 and iPhone 14 Plus;

Findings from Apple Women’s Health Study advance science around menstrual cycles;

Top Tech Trends in April  2023: Blockchain

Top Tech Trends as of April 10th 2023: Blockchain
Top Tech Trends in April 2023: Blockchain

Top Tech Trends in April 2023: Blockchain Trends on April 12th

Google form questionnaire link about blockchain technology

Is FTX Coming Back As Its Recovered Assets Surge To $7.3 Billion;

Ethereum Price Breaks Above $2K Following Successful Shapella Upgrade;

Warren Buffett no longer considers Bitcoin to be “rat poison squared,” now calls it a “gambling token”;

Zcash Price Prediction for Today, April 13: ZEC/USD Holds Strong at $41 Level;

Top Crypto Gainers Today, April 13 – NEAR, WOO, LHINU, DLANCE, IMX, ECOTERRA, ICP;

3 Best Crypto ICO’s That Could Make You Big Money – 100x Crypto?;

NFT Signals Granted Twitter Verification, Consolidating its Position as a Reliable Trading Expert;

Will DeeLance Dethrone Upwork and Fiverr as the Go-To Freelance Marketplace? Explore Its Web3 and Metaverse Advantages;

Paxos Eyes Canada Withdrawal;

Jacob Crypto Bury Best Crypto Community and $1,000 Free Crypto Giveaway

ChainGPT: The Revolutionary AI Model Developed by Seedify for Blockchain and Crypto Solutions

Top Tech Trends in April 2023: Blockchain Trends on April 10th

How Cryptocurrency Affect Real Money

Under FSMA Rule 204(d), digital traceability can save lives by saving food supplies;

Progressing supply chain resiliency;

Modernizing seaport logistics with a secure blockchain solution;

Automating EDI to the max: no partner left behind;

The way forward: hybrid networks powered by IBM Blockchain Services & CasperLabs at Davos 2022;

Crypto and blockchain acceleration in uncertain times;

Surging toward a data-driven supply chain: Why reinvention could happen sooner than you think;

Digital transformation can turn sustainability into your winning business strategy;

Four ways digital transformation can help meet sustainability goals;

Harnessing the power of data and AI to operationalize sustainability;

Latest AI Trends in April 2023

Today’s Top Tech Trends – April 07th 2023

Today's Top Tech Trends by Djamgatech and ChatGPT

Today’s Top Tech Trends – April 07th 2023

What is trending in Tech today on April 07th, 2023. From Technology in general, to android, iOs, AI, Machine learning and Data Science. We got you covered.

Today’s Top Tech Trends – April 07th 2023: Technology

Selling insurance is hard, but that’s not bad news for insurtechs

YC’s latest batch sure was a lot of ‘maybe AI can do… this?’

Pet influencers are hotter than ever. But how do dogs do taxes?

a16z will ‘continue to tailor’ its multibillion-dollar crypto funds to market opportunities, GP says

Generative AI could transform the way we interact with enterprise software

To raise an opportunity fund this year or to not raise an opportunity fund?

Daily Crunch: ‘Copy-from-China’ social media app Lemon8 squeezes its way into US top 10

The AI machines are coming for thought work, and other TC news

India’s central bank abandons UPI rival project Samsung cuts memory chip production as it hits worst quarterly profit since 2009

Tesla China boss Tom Zhu named SVP as country sales boom

JB Straubel could return to Tesla – as a board member this time

Daily Crunch: New Twitter Blue feature will reportedly squelch 50% of ads for paid members

Anthropic’s $5B, 4-year plan to take on OpenAI

T-Mobile to provide free MLB.TV subscriptions to customers through 2028

Our favorite startups from YC’s Winter 2023 Demo Day — Part 2

The Kia EV9’s real killer app could be its software

Today’s Top Tech Trends – April 07th 2023: Android

The Galaxy S23 is a hit worldwide, but Samsung expects profit to take a big hit

Samsung is taking another crack at a Google Discover alternative

Samsung isn’t finished bringing Galaxy S23 camera features to older flagships

Xiaomi 13 Ultra is confirmed for an April launch

Galaxy Watch 6 models are tipped to sport larger displays

Samsung’s next Galaxy SmartTag said to get a few welcome upgrades

Google releases Android 13 QPR3 Beta 2.1, brings improvements to your Pixel’s modem

WhatsApp beta brings a more convenient bottom navigation bar for Android

Google’s ‘Find My Device’ feature may soon take a page out of Apple’s book

Epic Verizon deal: Get the new Samsung Galaxy A54 for just $10/month

Today’s Top Tech Trends – April 07th 2023: iPhone iOs

Apple (re)invents the iPod

Twitter officially shuts down its free API and affects multiple apps

Here’s why macOS has the Bitcoin whitepaper hidden in its files

Apple’s Weather app is having a bad week; here are the best alternatives

9to5Mac Daily: April 6, 2023 – WWDC invites and more

Gentler Streak fitness app is now fully compatible with iOS accessibility features

Tested: Belkin’s refreshed MagSafe Power Bank delights with new spring-ready styles

This video shows what it’s like using an Apple Lisa from 1983 in 2023

As 5G home internet continues to expand, here’s how to check availability in your area

You can now buy unlocked iPhones through Best Buy

Thieves cut a hole in a bathroom wall to steal $500k worth of devices from Apple Store

Today’s Top Tech Trends – April 07th 2023: AI – Machine Learning

AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence
Today’s Top Tech Trends – April 07th 2023: AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence

Scientists use computational modeling to design “ultrastable” materials

Jacob Andreas and Mingda Li honored with Junior Bose Award for Excellence in Teaching

A four-legged robotic system for playing soccer on various terrains

Speeding up drug discovery with diffusion generative models

A method for designing neural networks optimally suited for certain tasks

Strengthening trust in machine-learning models

Learning to grow machine-learning models

Detailed images from space offer clearer picture of drought effects on plants

Peter Baddoo, Department of Mathematics instructor, dies at 29

Mining the right transition metals in a vast chemical space

Today’s Top Tech Trends – April 07th 2023: AI – Data Science

Ever disassociate during job interviews because you feel like everything the company, and what you’ll be doing, is just quickening the return to the feudal age?

Pandas 2.0 is going live, and Apache Arrow will replace Numpy, and that’s a great thing!

Are Data Scientists in health or social work related fields in this sub?

Data Science Professional Organizations

Research Papers Suggestions for Churn Prediction in Mobile App/Games

High School Mathematics: The Foundation of AI and ML

 

Latest AI Trends in April 2023

Latest AI Trends in April 2023

Top AI trends as of April 05th 2023: AI Innovations for a Better Tomorrow

Latest AI Trends in April 2023

Welcome to our latest blog post, where we delve into the most exciting AI trends that have emerged in April 2023. As artificial intelligence continues to transform industries and reshape the world, staying informed about the latest advancements is crucial for professionals, enthusiasts, and curious minds alike. In this post, we’ll explore groundbreaking research, innovative applications, and emerging technologies that are pushing the boundaries of AI. From the recent merger of Google Brain and DeepMind to the latest developments in generative AI, we’ll provide you with a comprehensive update on the AI landscape in April 2023. So, grab a cup of your favorite beverage and join us on this fascinating journey through the cutting-edge world of artificial intelligence!

AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence
AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence

Latest AI Trends in April 2023: April 28th 2023

What is Auto-GPT, and why does it matter?

What is Auto-GPT, and why does it matter?
What is Auto-GPT, and why does it matter?
Auto-GPT is a powerful tool for task automation that combines natural language processing and deep learning to generate human-like text responses.
 

Machine learning helps scientists identify the environmental preferences of microbes

Machine learning helps scientists identify the environmental preferences of microbes
Machine learning helps scientists identify the environmental preferences of microbes
Researchers have figured out a way to predict bacteria’s environmental pH preferences from a quick look at their genomes, using machine learning. Led by experts at the University of Colorado Boulder

7 Times Machine Learning Went Wrong

7 Times Machine Learning Went Wrong
7 Times Machine Learning Went Wrong
Whether it’s bad data or bad users, AI created with machine learning can end up making serious mistakes.

1. Google Image Search Result Mishaps

google-image-search-results-controversies

Google Search has made navigating the web a whole lot easier. The engine’s algorithm takes a variety of things into consideration when churning up results. But the algorithm also learns from user traffic, which can cause problems for search result quality.

2. Microsoft Bot Tay Turned Into a Nazi

AI-powered chatbots are extremely popular, especially those powered by large language models like ChatGPT. ChatGPT has several problems, but its creators have also learned from the mistakes of other companies.

3. AI Facial Recognition Problems

Facial recognition AI often makes headlines for all the wrong reasons, such as stories about facial recognition and privacy concerns. But this AI has a problematic history when attempting to recognize people of color.

4. Deepfakes Used for Hoaxes

While people have long used Photoshop to create hoax images, machine learning takes this to a new level. Deepfakes use deep learning AI to create fake images and videos. Software like FaceApp allows you to face-swap subjects from one video into another.

5. Employees Say Amazon AI Decided Hiring Men Is Better

In October 2018, Reuters reported that Amazon had to scrap a job-recruitment tool after the software’s AI decided that male candidates were preferential.

Employees who wished to remain anonymous came forward to tell Reuters about their work on the project. Developers wanted the AI to identify the best candidates for a job based on their CVs. However, people involved in the project soon noticed that the AI penalized female candidates. They explained that the AI used CVs from the past decade, most of which were from men, as its training dataset.

6. Jailbroken Chatbots

While newer chatbots have limitations in place to prevent them from giving answers that go against their terms of service, users are finding ways to jailbreak the tools to provide banned content.

In 2023, a Forcepoint security researcher Aaron Mulgrew was able to create zero-day malware using ChatGPT prompts.

7. Self-Driving Car Crashes

Enthusiasm for autonomous vehicles has been dampened from its initial hype stage due to mistakes made by self-driving AI. In 2022, The Washington Post reported that in roughly a year, 392 crashes involving advanced driver-assistance systems were reported to the US National Highway Traffic Safety Administration.

 

9 Common interview questions for AI jobs

 
Looking for common interview questions for AI jobs? Here are 9 commonly asked questions and how diverse candidates can answer them.
 

1. What motivated you to pursue a career in AI?

2. What experience do you have with AI-related tools and frameworks?

3. Can you describe a machine learning project you worked on?

4. How do you approach data preprocessing and cleaning?

5. How do you evaluate the performance of a machine learning model?

6. Can you explain the difference between supervised and unsupervised learning?

7. How do you keep up with the latest developments in AI?

8. Can you describe a time when you faced a difficult technical challenge and how you overcame it?

9. How do you approach collaboration and communication with team members in an AI project?

 

Google Announces Machine Learning Powered API Abuse Detection

Google recently announced an API abuse detection dashboard powered by machine learning algorithms.
 

Fraud Machine Learning Modelling Improvement with Synthetic Data

 
Fraud cases mitigation with synthetic data.
 

Personalized Medicine and AI: How Artificial Intelligence is Revolutionizing Healthcare

Artificial intelligence is revolutionizing healthcare by enabling personalized medicine, improving diagnostics, predicting patient outcomes, and optimizing treatment plans. AI-driven tools, such as machine learning algorithms and natural language processing, are enhancing medical research and clinical practice, paving the way for more efficient and targeted patient care.

What Are Some Exciting Challenge Ideas for Exploring Generative AI?

Exciting challenges for exploring generative AI include developing improved image, audio, and text synthesis, creating realistic virtual environments, enhancing AI-generated artwork and design, exploring AI-driven storytelling and gaming, and advancing the field of AI-generated music. These challenges push the boundaries of generative AI and inspire new applications in various industries

ChatGPT Assistant Feature in Utopia Messenger

The ChatGPT Assistant feature in Utopia Messenger offers users an advanced conversational AI experience for improved communication and productivity. By integrating ChatGPT, users can benefit from real-time language translation, enhanced text analysis, context-aware responses, and personalized recommendations, making the messenger platform more versatile and user-friendly.

 

Latest AI Trends in April 2023: April 27th 2023

Synthetic data could be better than real data

Synthetic data could be better than real data
Synthetic data could be better than real data
Nature – Machine-generated data sets have the potential to improve privacy and representation in artificial intelligence, if researchers can find the right balance between accuracy and fakery.
 

Amazon Is The Latest Major Ad Platform Going All-In On Machine Learning Tech

Amazon Is The Latest Major Ad Platform Going All-In On Machine Learning Tech
Amazon Is The Latest Major Ad Platform Going All-In On Machine Learning Tech
The new hot trend in platform advertising is to put the machines in charge of everything. It’s true of Google, true of Facebook and, even more so as of today,…
 

7 popular tools and frameworks for developing AI applications

 
Discover the 7 most popular tools and frameworks for developing AI applications, from TensorFlow and PyTorch to Keras and Caffe.
 

“Liquid” Neural Network Adapts on the Go

"Liquid" Neural Network Adapts on the Go
“Liquid” Neural Network Adapts on the Go
Drones equipped with liquid neural networks edged out other AI systems when navigating unknown territory….
 

AI could be the secret weapon in preventing the next global pandemic

AI could be the secret weapon in preventing the next global pandemic
AI could be the secret weapon in preventing the next global pandemic
Back in 2016, four years before a pandemic saw the world grind to a halt, the United Nations Environment Programme (UNEP) was sounding the alarm on zoonotic diseases, identifying them as a key emerging issue of global concern.
 

Google Trends data: ChatGPT is 8.3x more popular than Bing, 33x more popular than Bard, and only growing

According to recent Google Trends data, ChatGPT, the AI language model developed by OpenAI, has seen a significant rise in popularity. It has outpaced competitors like Bing and Bard, being 8.3 times more popular than Bing and a staggering 33 times more popular than Bard. ChatGPT’s growth shows no signs of slowing down, as more users adopt it for various applications, including content generation, customer support, and even entertainment.
 
Artificial intelligence has the potential to learn and discover things beyond human understanding or that have not yet been discovered. Machine learning algorithms, in particular, can analyze large datasets, identify patterns, and make predictions that may not be apparent to human researchers. This capability can lead to new insights and discoveries in various fields, including medicine, physics, and climate science. However, AI’s success in making such discoveries relies heavily on the quality and quantity of data it is trained on, as well as the ability of researchers to interpret its findings.
 

Synthetic data could be better than real data

Synthetic data could be better than real data
Nature – Machine-generated data sets have the potential to improve privacy and representation in artificial intelligence, if researchers can find the right balance between accuracy and fakery.
 

Amazon Is The Latest Major Ad Platform Going All-In On Machine Learning Tech

 Amazon Is The Latest Major Ad Platform Going All-In On Machine Learning Tech
The new hot trend in platform advertising is to put the machines in charge of everything. It’s true of Google, true of Facebook and, even more so as of today,…
 

7 popular tools and frameworks for developing AI applications

 
Discover the 7 most popular tools and frameworks for developing AI applications, from TensorFlow and PyTorch to Keras and Caffe.
  • TensorFlow is an open-source platform developed by Google, which provides a comprehensive framework for building and deploying machine learning models across multiple platforms.
  • PyTorch is another popular open-source machine learning framework, widely used for developing AI applications such as image recognition, natural language processing and reinforcement learning
  • Keras is an open-source neural network library that runs on top of TensorFlow or Theano. It is a user-friendly platform that allows developers to create and train deep learning models with just a few lines of code.
  • Caffe is a deep learning framework developed by Berkeley AI Research (BAIR) and community contributors. It is designed for fast training of convolutional neural networks and is commonly used for image and speech recognition.
  • CNTK is an open-source framework developed by Microsoft that provides a scalable and efficient platform for building deep learning models. 
  • Theano is a popular Python library for numerical computation, specifically designed for building and optimizing deep neural networks.
  • Apache MXNet is a scalable and efficient open-source deep learning framework, which supports multiple programming languages, including Python, R and Scala. It is widely used for computer vision, NLP and speech recognition applications. 

“Liquid” Neural Network Adapts on the Go

 
Drones equipped with liquid neural networks edged out other AI systems when navigating unknown territory….
 

AI could be the secret weapon in preventing the next global pandemic

I could be the secret weapon in preventing the next global pandemic
Back in 2016, four years before a pandemic saw the world grind to a halt, the United Nations Environment Programme (UNEP) was sounding the alarm on zoonotic diseases, identifying them as a key emerging issue of global concern.

AI Unraveled Book: 

Attention AI Unraveled podcast listeners! Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” now available on Amazon! This engaging read answers your burning questions and provides valuable insights into the captivating world of AI. Don’t miss this opportunity to elevate your knowledge and stay ahead of the curve.
Get your copy on Amazon today at https://amzn.to/40HXDEl

Latest AI Trends in April 2023: April 26th 2023

Bill Gates Says AI Will Be Teaching Kids to Read in 18 Months

Bill Gates Says AI Will Be Teaching Kids to Read in 18 Months
Bill Gates Says AI Will Be Teaching Kids to Read in 18 Months
Bill Gates is, as he has repeatedly said in public, very, very excited about the AI future that his company is ushering in.
 

Identifying gender bias in blockbuster movies through the lens of machine learning

Identifying gender bias in blockbuster movies through the lens of machine learning
Identifying gender bias in blockbuster movies through the lens of machine learning
Popular culture plays an important role in shaping society’s perceptions and attitudes around gender roles. We are fed images and stories through television, film, music and social media that can both …
 

Opinion | How an AI safeword can protect you and your money

Opinion | How an AI safeword can protect you and your money
Opinion | How an AI safeword can protect you and your money
As society figures out what rules are needed to manage the fast expansion of AI, individuals need ways to personally protect themselves.
 

Is AI Coming for Your Job?

Is AI Coming for Your Job?
Is AI Coming for Your Job?
In a post-AI world, where an algorithm can draft marketing copy—or even pop songs and movie scripts—anything seems possible. Five Harvard Business School faculty members discuss how artificial
 

Is it Still Worth Getting a Machine Learning Degree?

Is it Still Worth Getting a Machine Learning Degree?
Is it Still Worth Getting a Machine Learning Degree?
Is it Still Worth Getting a Machine Learning Degree? – Data Science Central %
 

Can Artificial Intelligence and Machine Learning Find Life in Space?

Can Artificial Intelligence and Machine Learning Find Life in Space?
Can Artificial Intelligence and Machine Learning Find Life in Space?
Artificial intelligence (AI) and machine learning (ML) are increasingly being used in the field of astrobiology to help in the search for life in space.
 

How Artificial Intelligence and Machine Learning Will Impact Software Development

 
Discover how AI and ML can potentially change the software development industry, and how AI affects software development and minimizes developers’ workload Software development is a long, com…
 
 

Latest AI Trends in April 2023: April 25th 2023

UK to spend $124 million on task force for secure AI

UK to spend $124 million on task force for secure AI
UK to spend $124 million on task force for secure AI
Building on its commitment to make the UK a globally competitive player in artificial intelligence, the government has launched task force to support the safe and reliable development of AI.
 

5 real-world applications of natural language processing (NLP)

 
Discover five real-world applications of NLP, including sentiment analysis, chatbots, machine translation, text summarization and speech recognition.
 

Is the Use of AI in Cybersecurity Making the World More Secure?

 
While the pros of utilizing AI in cybersecurity may outweigh the cons, AI is still adding to cyber threats.
 

Ensemble machine learning algorithm for predicting acute kidney injury in patients admitted to the neurointensive care unit following brain surgery

Ensemble machine learning algorithm for predicting acute kidney injury in patients admitted to the neurointensive care unit following brain surgery
Ensemble machine learning algorithm for predicting acute kidney injury in patients admitted to the neurointensive care unit following brain surgery
Scientific Reports – Ensemble machine learning algorithm for predicting acute kidney injury in patients admitted to the neurointensive care unit following brain surgery
 

Embracing AI Skills Amidst Job Market Turbulence

Embracing AI Skills Amidst Job Market Turbulence
Embracing AI Skills Amidst Job Market Turbulence
AI is reshaping the job landscape – are you prepared? Delve into its impact and find top online courses to improve your skills.
 

Genetic Risk Outweighs Age: Machine Learning Models Rank Predictive Risks for Alzheimer’s Disease

Genetic Risk Outweighs Age: Machine Learning Models Rank Predictive Risks for Alzheimer’s Disease
Genetic Risk Outweighs Age: Machine Learning Models Rank Predictive Risks for Alzheimer’s Disease
Research indicates that genetic predisposition supersedes age as a risk factor in adults above 65. According to a recent study, once individuals reach the age of 65, which is the threshold for the onset of Alzheimer’s disease, their genetic risk may play a larger role in determining if they will de …
 

How to Improve Your Machine Learning Model With TensorFlow’s Data Augmentation

 
Prevent overfitting and boost your machine learning model’s accuracy by implementing TensorFlow’s data augmentation methods.
 

Machine learning algorithm sets Amazon stock price for May 2023

Machine learning algorithm sets Amazon stock price for May 2023
Machine learning algorithm sets Amazon stock price for May 2023
There is interest if Amazon’s (NASDAQ: AMZN) stock will be able to deliver more after rising over 20% since the start of the year.
 

Researchers use AI to discover new planet outside solar system: The exoplanet was detected using machine learning, a branch of artificial intelligence

Researchers use AI to discover new planet outside solar system: The exoplanet was detected using machine learning, a branch of artificial intelligence
Researchers use AI to discover new planet outside solar system: The exoplanet was detected using machine learning, a branch of artificial intelligence
A research team has confirmed evidence of a previously unknown planet outside of our solar system, and they used machine learning tools to detect it. A recent study by the team showed that machine learning can correctly determine if an exoplanet is present by looking in protoplanetary disks, the gas…
 

What are some practical applications of machine learning that can be used by a regular person on their phone? 

What are some practical applications of machine learning that can be used by a regular person on their phone?
What are some practical applications of machine learning that can be used by a regular person on their phone?
What are some practical applications of machine learning that can be used by a regular person on their phone? With advancements in machine learning and artificial intelligence (AI), it’s no surprise that these technologies have made their way onto our smartphones. For the regular person, machine learning has
 

Latest AI Trends in April 2023: April 23rd 2023

How is artificial intelligence used in fraud detection?

 
AI can contribute to fraud management by detecting data anomalies, identifying fraudulent behavior patterns and automating fraud detection processes.
 

Activating vacation mode: Utilizing AI and machine learning in your travel marketing strategy

Activating vacation mode: Utilizing AI and machine learning in your travel marketing strategy
Activating vacation mode: Utilizing AI and machine learning in your travel marketing strategy

Say the words “dream vacation” and everyone will picture something different. This brings a particular challenge to the modern travel marketer – especially in a world of personalization, when all travelers are looking for their own unique experiences. Fortunately, artificial intelligence (AI) provides a solution that allows travel marketers to draw upon a variety of sources when researching the best ways to connect with potential audiences.

By utilizing and combining data from user-generated content, transaction history and other online communications, AI and machine-learning (ML) solutions can help to give marketers a customer-centric approach, while successfully accounting for the vast diversity amongst their consumer base.

 

Access GPT-4 for free: Forefront chat, developed by US-based AI start-up, offers instant response

Access GPT-4 for free: Forefront chat, developed by US-based AI start-up, offers instant response
Access GPT-4 for free: Forefront chat, developed by US-based AI start-up, offers instant response
New York-based start-up Forefront has launched its web tool, Forefront chat. The AI tool lets you use GPT-4 for free.
 

The Future of AI: Nanowire Networks Learn & Think Like Humans

The Future of AI: Nanowire Networks Learn & Think Like Humans
The Future of AI: Nanowire Networks Learn & Think Like Humans
The Future of AI: Nanowire Networks Learn & Think Like Humans. Experts are still exploring the full use of nanowire networks…
 

AI and ETFs: the machines are coming (but not always winning)

AI and ETFs: the machines are coming (but not always winning)
AI and ETFs: the machines are coming (but not always winning)
ETFs using machine learning and natural language processing to pick stocks do not consistently outperform indices . . .  yet

AbridgIt – a browser extension that uses GPT to summarize any article you find on the web with a single click

AbridgIt is a browser extension that utilizes GPT technology to provide users with concise summaries of online articles in just a single click. This innovative tool can help users save time and digest information more efficiently. Read more…

AI MAY PUSH ARTISTS BACK TO PHYSICAL MEDIUM

As AI-generated art becomes increasingly prevalent, many traditional artists are returning to physical mediums. This shift reflects a desire to differentiate their work from AI-generated art and preserve the human touch in their creations. Read more…

Humane showcases its wearable AI assistant that could oust smartphones

Humane, a tech company, has revealed its wearable AI assistant, which could potentially replace smartphones in the future. The device is designed to streamline user experiences by incorporating advanced AI technology and a sleek, user-friendly interface. Read more…

Wouldn’t superintelligent sentient AI hide itself?

Some experts argue that if a superintelligent sentient AI were to exist, it might choose to remain hidden from humans. This perspective is based on the idea that a truly intelligent AI would recognize potential threats from humans and prioritize self-preservation. Read more…

Why would AI choose to kill everyone? This has never made sense to me…

The fear that AI would choose to eliminate humanity is often based on misconceptions and misunderstandings about the nature of artificial intelligence. Many experts emphasize the importance of responsible AI development and implementation to avoid potential harm. Read more…

👻 Snapchat Onboards 363 Million to AI

Snapchat has successfully integrated AI technology into its platform, providing new experiences and features for its 363 million users. By utilizing AI, Snapchat enhances user engagement with innovative filters, AR experiences, and improved content discovery. Read more…

 

How much of the noise around generative AI is true?

While generative AI has made significant advancements in recent years, it’s essential to approach the technology with a balanced perspective. Some hype surrounds its capabilities, but generative AI has also produced impressive results in various fields, such as art, music, and text generation. Read more…

Updated TextGen Ai WebUI Install! Run LLM Models in MINUTES!

TextGen Ai WebUI is an updated user interface that allows users to run large language models like GPT-4 in just a few minutes. This accessible platform enables users to take advantage of AI-powered text generation for various applications, such as content creation and natural language processing. Read more…

 

Opinion polling on predicted job loss from AI advances.

r/dataisbeautiful - Opinion polling on predicted job loss from AI advances. [OC]

r/dataisbeautiful - Opinion polling on predicted job loss from AI advances. [OC]

Latest AI Trends in April 2023: April 21st 2023

Artificial intelligence to aid future exoplanet hunt

Artificial intelligence to aid future exoplanet hunt
Artificial intelligence to aid future exoplanet hunt
The Ariel Data Challenge 2023 launched on 14 April and invites AI and machine learning experts to help astronomers in understanding planets outside our solar system.
 

What are the four main types of artificial intelligence? Find out how future AI programs can change the world

What are the four main types of artificial intelligence? Find out how future AI programs can change the world
What are the four main types of artificial intelligence? Find out how future AI programs can change the world
Artificial intelligence can be broken down into four distinct categories: reactive machines, limited memory, theory of mind, and self-awareness.
 

Google intensifies its bid to lead AI race, announces Google DeepMind: Here’s what it means

Google intensifies its bid to lead AI race, announces Google DeepMind: Here’s what it means
Google intensifies its bid to lead AI race, announces Google DeepMind: Here’s what it means
Google DeepMind is the combination of DeepMind and Google Brain. The new collective unit is expected to steer Google’s progress in AI.
 

Top 10 Requirements for Deep Learning Projects for Beginners

Top 10 Requirements for Deep Learning Projects for Beginners
Top 10 Requirements for Deep Learning Projects for Beginners
Mastering the art of deep learning: the top 10 indispensable requirements for novice practitioners, explained in our comprehensive guide to boost your skills and knowledge.
 

Google Brain and DeepMind merge under Alphabet’s umbrella

Two of the most prominent AI research organizations, Google Brain and DeepMind, have merged under Alphabet’s umbrella. This strategic move aims to consolidate resources, foster collaboration, and accelerate advancements in artificial intelligence. The joint team will continue to work on cutting-edge projects in AI, machine learning, and deep learning, pushing the boundaries of what’s possible in the field. Read more.

Bard now helps you code

Bard, an advanced AI language model, has recently been updated to assist developers in writing code. With natural language processing capabilities, Bard can understand and generate code snippets based on user input, making it an invaluable tool for software developers. This new feature streamlines the coding process, potentially reducing development time and improving code quality. Read more.

Google DeepMind: Bringing together two world-class AI teams

The merger of Google Brain and DeepMind represents a landmark moment in the field of artificial intelligence. By bringing together these two world-class teams, Alphabet aims to accelerate advancements in AI and machine learning by pooling resources and expertise. This collaboration is expected to result in groundbreaking research and innovations, shaping the future of technology. Read more.

Ask a Techspert: What is generative AI?

Generative AI is a subfield of artificial intelligence that focuses on creating new content, such as images, text, music, or even code. It employs machine learning algorithms, like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), to learn patterns in data and generate novel outputs. This technology has numerous applications, ranging from creating realistic images to generating human-like text for chatbots. Read more.

A Gentle Intro to Chaining LLMs, Agents, and utils via LangChain

This article provides an easy-to-understand introduction to LangChain, a framework designed for chaining Large Language Models (LLMs), agents, and utility functions. LangChain simplifies the process of combining these components, enabling developers to create complex AI applications more efficiently. The article covers the basics of LangChain and offers examples of its practical applications. Read more.

Survival Analysis: Leveraging Deep Learning for Time-to-Event Forecasting

Survival analysis is a statistical technique for predicting the time until a specific event occurs. This article delves into how deep learning can be applied to survival analysis, enhancing time-to-event forecasting capabilities. It covers the fundamental concepts, methodologies, and real-world applications of this powerful combination, such as predicting customer churn or equipment failure. Read more.

Train ImageNet without Hyperparameters with Automatic Gradient Descent

Automatic gradient descent is a novel technique that simplifies the training of neural networks on large datasets like ImageNet. By eliminating the need for hyperparameter tuning, this method can save researchers and practitioners significant time and effort. The article explores the underlying concepts, implementation, and potential benefits of adopting automatic gradient descent in machine learning projects. Read more.

Architecture of AI-Driven Security Operations with a Low False Positive Rate

AI-driven security operations are becoming increasingly important in the fight against cyber threats. This article presents an architecture designed to minimize false positive rates while maximizing detection accuracy. The proposed system combines advanced AI algorithms, data fusion techniques, and domain expertise to provide a robust and effective security solution. Read more.

Which GPT-like Engineering Strategies Work on System Logs?

GPT-like models have demonstrated remarkable capabilities in natural language processing tasks. This article examines the application of these engineering strategies to system logs, a critical source of information for IT administrators. It evaluates different approaches and provides insights into their effectiveness in processing and analyzing log data, thereby improving system monitoring and maintenance. Read more.

Top 10 Pre-Trained Models for Image Embedding every Data Scientist Should Know

Pre-trained models for image embedding can significantly improve the efficiency and accuracy of computer vision tasks. This article presents the top 10 pre-trained models that every data scientist should be familiar with, including popular choices like ResNet, Inception, and VGG. It provides an overview of each model’s strengths, weaknesses, and ideal use cases, helping data scientists choose the best model for their specific needs. Read more.

Latest AI Trends in April 2023: April 20th 2023

Machine-Learning Technique Improves High Blood Pressure Treatment

Machine-Learning Technique Improves High Blood Pressure Treatment
Machine-Learning Technique Improves High Blood Pressure Treatment
New research describes a machine-learning technique that could provide insight into the type of patients that would benefit the most from hypertension treatment.
 

What’s AGI, and Why Are AI Experts Skeptical?

What’s AGI, and Why Are AI Experts Skeptical?
What’s AGI, and Why Are AI Experts Skeptical?
ChatGPT and other bots have revived conversations on artificial general intelligence. Scientists say algorithms won’t surpass you any time soon.
 

Machine learning model accurately predicts stroke using existing data

Machine learning model accurately predicts stroke using existing data
Machine learning model accurately predicts stroke using existing data
Stroke can be tricky to diagnose as patients don’t always present with classic symptoms, and other conditions can mimic it. Researchers have used existing data to develop a machine-learning model that accurately predicts stroke and may make diagnosis easier.
 

AI vs. machine learning vs. data science: How to choose

AI vs. machine learning vs. data science: How to choose
AI vs. machine learning vs. data science: How to choose
AI and ML and DS—oh my! Check out this simple breakdown to determine which technology will help you meet your customers’ needs best.

Image Generator: “Talk” to AI to Change Parts of the Image

Training a Large Language Model on a Fantasy World

UMG Claims Copyright Against AI-Generated Song, Calling it “Fraud” and Posing Legal Challenges

Seeking Postdoc in ML and Healthcare Advancement? Connect with Me!

Learning About Artificial Intelligence

The AI-Generated Oasis Album: Surprisingly Impressive

Creating a Complete YouTube Channel with AI for Free

The Anatomy of Autonomy: Agents as the Next AI Breakthrough after ChatGPT

Latest AI Trends in April 2023: April 19th 2023

Auto-GPT, BabyAGI, and AgentGPT: How to use AI agents

Auto-GPT, BabyAGI, and AgentGPT: How to use AI agents
Auto-GPT, BabyAGI, and AgentGPT: How to use AI agents
ChatGPT is out, AI agents are in.
 

Microsoft and Epic are bringing GPT-4 to hunt for trends in medical records

Microsoft and Epic are bringing GPT-4 to hunt for trends in medical records
Microsoft and Epic are bringing GPT-4 to hunt for trends in medical records
Microsoft want so help tackle hospital budgets and more with GPT-4
 

AI ethics and biases, and the mindlessness of deep learning

AI ethics and biases, and the mindlessness of deep learning
AI ethics and biases, and the mindlessness of deep learning
Instead of just striving to eliminate biases in datasets, researchers should ask why biases are in datasets in the first place and what power and poli…
 

A machine learning model for identifying new compounds to fight against global warming

A machine learning model for identifying new compounds to fight against global warming
A machine learning model for identifying new compounds to fight against global warming
Among all greenhouse gases, carbon dioxide is the highest contributor to global warming. If we do not take action by 2100, according to the Intergovernmental Panel on Climate Change, the average…
 

Meet MiniGPT-4: An Open-Source AI Model That Performs Complex Vision-Language Tasks Like GPT-4

Meet MiniGPT-4: An Open-Source AI Model That Performs Complex Vision-Language Tasks Like GPT-4
Meet MiniGPT-4: An Open-Source AI Model That Performs Complex Vision-Language Tasks Like GPT-4
GPT-4 is the latest Large Language Model that OpenAI has released. Its multimodal nature sets it apart from all the previously introduced LLMs. GPT’s transformer architecture is the technology behind the
 

Latest AI Trends in April 2023: April 18th 2023

Elon Musk plans ‘TruthGPT’ A.I. to rival OpenAI, DeepMind

3 exciting jobs in artificial intelligence and machine learning this week

3 exciting jobs in artificial intelligence and machine learning this week
3 exciting jobs in artificial intelligence and machine learning this week
Rising adoption in AI/ML is leading to job opportunities both within the sector, and as a result of AI-driven automation
 

Using machine learning applications to predict patients’ risk of developing COPD

Using machine learning applications to predict patients' risk of developing COPD
Using machine learning applications to predict patients’ risk of developing COPD
A team of medical researchers, engineers and computer scientists affiliated with multiple institutions across the U.S. has found that machine learning technology can help doctors predict which patients …

Machine Learning vs. Deep Learning vs. Neural Networks

Machine Learning vs. Deep Learning vs. Neural Networks
Machine Learning vs. Deep Learning vs. Neural Networks
While machine learning, deep learning, and neural networks are different, they all contribute to building complex AI systems.
 

Why is deep learning so slow?

Why is deep learning so slow?
Why is deep learning so slow?
Why is deep learning so slow? Let’s take a look at this question today! Why is deep learning so slow? What is the answer?
 

In Machine Learning Wars, Amazon Says ‘We’re #1!’

In Machine Learning Wars, Amazon Says 'We're #1!'
In Machine Learning Wars, Amazon Says ‘We’re #1!’
Amazon claims to be the leader in machine learning, having the largest ML functionality and customer base of any cloud provider.
 

Some Glimpse AGI in ChatGPT. Others Call It a Mirage

Some Glimpse AGI in ChatGPT. Others Call It a Mirage
Some Glimpse AGI in ChatGPT. Others Call It a Mirage
A new generation of AI algorithms can feel like they’re reaching artificial general intelligence—but it’s not clear how to measure that.

Latest AI Trends in April 2023: April 17th 2023

Redesign Your CV with Generative AI

With nearly 170,000 tech employees laid off in the previous three months, I thought this could be an interesting real-world workflow powered by AI to try for this week’s challenge.

First, use ChatGPT to learn what Hiring Managers and Recruiters are searching for in your role, and get a nice intro… Use this base prompt:

Please act as an expert HR headhunter to help me with updating my CV. I’m [Main Role], and I’ve also been [Secondary Role], and my main expertise is [Expertise 1], [Expertise 2], and [Expertise 3].
Could you please provide me with a list of the skills that are most in demand for these roles, as well as what Hiring Managers and HR recruiters are looking for? Write these as an introduction to my CV.”

You can also use ChatGPT to find ways to describe your positions with
Now, for my CV, use the first list to describe my role as [Main Role], highlighting potential achievements that will capture recruiters’ attention

Then, use MidJourney to make a trendy CV template that will stand out amid the crowd, here’s the base prompt:

Resume professional Curriculum Vitae for a [Main Role] and [Secondary Role], with [Soft Skills], specialized in [Expertise 1] and [Expertise 2] –ar 2:3 –q 2 –v 5 –s 250

See the results below… Of course, this is only a part of the content and design, then you have to make it real with your preferred design tool… for that I suggest you to check the following resources:

Redesign Your CV with Generative AI
Redesign Your CV with Generative AI

PowerPoint Ninjas course. How to create a CV (Spanish, but explained)
– https://lnkd.in/dKbWYauF

PowerPoint Ninjas course. CV templates samples:
– https://lnkd.in/dx3Dt9RC

Hope it helps you to get inspired and upgrade your CV content and style.

Redesign Your CV with Generative AI
Redesign Your CV with Generative AI

#jobsearch #ArtificialIntelligence #Future #Innovation

Are conscious machines possible?

A University of Oxford professor explains how conscious machines are possible.
 

Machine Learning Identifies Four Autism Subtypes

Machine Learning Identifies Four Autism Subtypes
Machine Learning Identifies Four Autism Subtypes
Researchers at Weill Cornell Medicine have identified four different subtypes of autism spectrum disorder using machine learning.
 

Top 10 Machine Learning Courses To Learn In 2023

Top 10 Machine Learning Courses To Learn In 2023
Top 10 Machine Learning Courses To Learn In 2023
If you are willing to earn well, and advance your career, then the Machine Learning course will help you get good opportunities.
 

An AI babysitter for your dog

An AI babysitter for your dog
An AI babysitter for your dog
The Companion robot plays educational games with your dog and dispenses treats.
 

OpenAI’s CEO Says the Age of Giant AI Models Is Already Over

OpenAI’s CEO Says the Age of Giant AI Models Is Already Over
OpenAI’s CEO Says the Age of Giant AI Models Is Already Over
Sam Altman says the research strategy that birthed ChatGPT is played out and future strides in artificial intelligence will require new ideas.
 

Japanese industry deploys artificial intelligence

Japanese industry deploys artificial intelligence
Japanese industry deploys artificial intelligence
Asia Times:  Do Japanese manufacturers use ChatGPT? ChatGPT: It is possible that some Japanese manufacturers use ChatGPT or other similar language models for various applications…
 

AI tools may help proliferate deepfake porn. What’s being done to curb it?

Superintelligence is possible

A University of Oxford professor explains how conscious machines are possible.
 

How AI is boosting profits through revolutionary data analysis techniques

In today’s business world, “data is king.” From customer insights to market trends, businesses must rely on data to make informed decisions and stay ahead of the competition. As the “mentor of the giants,” as Fortune magazine has dubbed me, I always emphasize to our clients how important it is to analyze…
 

Amazon Robotics Open-Sources ARMBench: A Large Open-Source Dataset For Training Robots

Amazon Robotics Open-Sources ARMBench: A Large Open-Source Dataset For Training Robots
Amazon Robotics Open-Sources ARMBench: A Large Open-Source Dataset For Training Robots
Picking, sorting, and packaging are just some of the many warehouse operations that may be automated using robotic object-handling systems. It is not easy to construct robust and scalable robotic systems for use in handling objects in warehouses. Warehouses now handle millions of items that va…
 
Machine Learning Investor Warns AI Is Becoming Like a God
Machine Learning Investor Warns AI Is Becoming Like a God
A serial AI investor is raising alarm bells about the dogged pursuit of increasingly-smart machines, which he believes will become “god-like.”

Latest AI Trends in April 2023: April 16th 2023

If you’re not using AI, you’re falling behind. Here are 7 new AI tools you cannot miss in 2023

Stockimg.ai: Create logos, illustrations, banners, posters, book covers, stock images with AI
Latest AI Trends in April 2023: Create logos, illustrations, banners, posters, book covers, stock images with AI
Glasp.co: The best AI tool for summarizing Youtbe videos in seconds.!
Latest AI Trends in April 2023 – Glasp.co: The best AI tool for summarizing Youtbe videos in seconds.!
Magic Studio: Remove unwanted objects from your photos in seconds
Latest AI Trends in April 2023: Magic Studio
Dropchat: Instantly chat with any boom by searching using title, author, or ISBN number
Latest AI Trends in April 2023: Dropchat
ChefGPT: Never worry about what's for dinner again.
Latest AI Trends in April 2023: ChefGPT
Amazon CodeWhisperer: Build application faster and more securely with your AI coding companion
Latest AI Trends in April 2023: Build application faster and more securely with your AI coding companion
Gamma AI: This tool is like ChatGPT for creating presentations
Latest AI Trends in April 2023: Gamma AI

How AI and ML are changing software engineering

How AI and ML are changing software engineering
How AI and ML are changing software engineering
Current machine learning models that are designed to generate code will enhance developer productivity, according to this Gartner analyst.
 

Amazon Launches Bedrock: An AI Service That Will Allow Users To Build Out Generative Models From AI21 Labs, Anthropic, Stability AI, and Amazon

Amazon Launches Bedrock: An AI Service That Will Allow Users To Build Out Generative Models From AI21 Labs, Anthropic, Stability AI, and Amazon
Amazon Launches Bedrock: An AI Service That Will Allow Users To Build Out Generative Models From AI21 Labs, Anthropic, Stability AI, and Amazon
Amazon has launched a new AI platform for businesses called Amazon Bedrock, aimed at providing customers of Amazon Web Service (AWS) with a suite of generative AI tools that can build chatbots, generate and summarize text, and classify images based on a
 

The iPhone 14’s digital zoom stinks — this app uses machine learning to improve it

The iPhone 14’s digital zoom stinks — this app uses machine learning to improve it  Enhance digital zoom on non-Pro iPhones
The iPhone 14’s digital zoom stinks — this app uses machine learning to improve it Enhance digital zoom on non-Pro iPhones
Enhance digital zoom on non-Pro iPhones
 

Latest AI Trends in April 2023: April 14th 2023

Ask a Techspert: What is generative AI?

Ask a tech expert: What is Generative AI?
Ask a tech expert: What is Generative AI?

We recently expanded access to Bard, an early experiment that lets you collaborate with generative AI. Bard is powered by a large language model, which is a type of machine learning model that has become known for its ability to generate natural-sounding language. That’s why you often hear it described interchangeably as “generative AI.” As with any new technology, it’s normal for people to have lots of questions — like what exactly generative AI even is. Read more at https://blog.google/inside-google/googlers/ask-a-techspert/what-is-generative-ai/

Global Artificial Intelligence/Machine Learning Medical Device Market to Reach $35.45 Billion by 2032 – Exclusive DeepTech M-A-P™ Analysis by BIS Research

Global Artificial Intelligence/Machine Learning Medical Device Market to Reach $35.45 Billion by 2032
Global Artificial Intelligence/Machine Learning Medical Device Market to Reach $35.45 Billion by 2032
/PRNewswire/ — BIS Research, the global leader in providing market intelligence on deep technologies, has released its latest study titled Artificial.
 

AWS debuts generative AI as a service

AWS debuts generative AI as a service
AWS debuts generative AI as a service
Amazon Bedrock offers APIs for multiple models, plus EC2 to run ’em and create custom LLMs
 

Top 10 Deep Learning Algorithms You Must Know in 2023

Top 10 Deep Learning Algorithms You Must Know in 2023
Top 10 Deep Learning Algorithms You Must Know in 2023
The top 10 Deep learning algorithms to know in 2023: driving progress in the field of Artificial Intelligence. These algorithms are up-to-date mastering the future of AI.
1. Convolutional Neural Networks (CNNs)
2. Transformer Networks
3. Long Short-Term Memory Networks (LSTMs)
4. Autoencoders
5. Self-Organizing Maps (SOMs)
6. Deep Reinforcement Learning
7. Recurrent Neural Networks (RNNs)
8. Capsule Networks
9. Generative Adversarial Networks (GANs)
10. Radical Basis Function Networks (RBFNs)
 
 

Google, Microsoft and startups test out generative AI in healthcare

Google, Microsoft and startups test out generative AI in healthcare
Google, Microsoft and startups test out generative AI in healthcare
It’s been five months since Microsoft-backed OpenAI released its generative large language model ChatGPT, followed by GPT-4 in March. | Tech giants and startups are off to the races to test out the potential for LLMs and generative AI tools in medicine and healthcare use
 

Industry leaders explain how to make AI a force for good

Industry leaders explain how to make AI a force for good
Industry leaders explain how to make AI a force for good
AI is becoming more ubiquitous and more accessible. Those prospects are exciting but there remain challenges regarding fairness and de-biased results.
 

Pentagon goes on AI hiring spree to bring machine learning capabilities to the battlefield

The Pentagon is hiring data scientists, technologists and engineers as part of its effort to incorporate artificial intelligence into the machinery used to wage war. 
 
A New Microsoft AI Research Shows How ChatGPT Can Convert Natural Language Instructions Into Executable Robot Actions
A New Microsoft AI Research Shows How ChatGPT Can Convert Natural Language Instructions Into Executable Robot Actions
Large language models (LLMs) that can comprehend and produce language similar to that of humans have been made possible by recent developments in natural language processing. 
 

A shared agenda for responsible AI progress

A shared agenda for responsible AI progress
A shared agenda for responsible AI progress

 

Generative AI experiments like Bard, tools like the PaLM and MakerSuite APIs and a growing number of services from across the AI ecosystem have sparked excitement about AI’s transformative potential — and concern about potential misuse.

It’s helpful to recall that AI is simultaneously revolutionary and something that’s been quietly helping us out for years.

If you’ve searched the internet or used a modern smartphone, you were working with AI — you just may not have noticed it making things better (and safer) behind the scenes. (Here’s a deeper dive on why we’ve been focused on AI.) . Read more at https://blog.google/technology/ai/a-shared-agenda-for-responsible-ai-progress/

 

ChatGPT-4 exam performances

ChatGPT-4 exam performances

Grow Your Career With AI at LinkedIn

LinkedIn’s vision is to create economic opportunity for every member of the global workforce. By blending human innovation with advanced technology, we’re dedicated to making this goal a reality. Over the past 15 years, our AI technology has played a vital role in connecting professionals worldwide with economic opportunities, such as promoting knowledge sharing, helping managers find the most relevant candidates, and assisting small businesses in reaching their target customers. Learn more ….

Grow Your Career With AI at LinkedIn
Grow Your Career With AI at LinkedIn

Latest AI Trends in April 2023: April 13th 2023

AWS begins offering customers access to LLMs by Anthropic, Stability AI, AI21 Labs, and AWS, aiming to become a neutral platform for generative AI features (Tom Dotan/Wall Street Journal)

AWS begins offering customers access to LLMs by Anthropic, Stability AI, AI21 Labs, and AWS, aiming to become a neutral platform for generative AI features
AWS begins offering customers access to LLMs by Anthropic, Stability AI, AI21 Labs, and AWS, aiming to become a neutral platform for generative AI features

A New Approach to Computation Reimagines Artificial Intelligence

A New Approach to Computation Reimagines Artificial Intelligence
A New Approach to Computation Reimagines Artificial Intelligence
By imbuing enormous vectors with semantic meaning, we can get machines to reason more abstractly — and efficiently — than before.
 

How Generative AI Could Disrupt Creative Work

How Generative AI Could Disrupt Creative Work
How Generative AI Could Disrupt Creative Work
In the face of technological change, creativity is often held up as a uniquely human quality, less vulnerable to the forces of technological disruption and critical for the future. Today however, generative AI applications such as ChatGPT and Midjourney are threatening to upend this special status and…
 

First-ever black hole image gets a sharp new AI makeover

First-ever black hole image gets a sharp new AI makeover
First-ever black hole image gets a sharp new AI makeover
The image of the supermassive black hole at the heart of the galaxy Messier 87 was boosted to high fidelity by a machine learning program trained on black hole models.
 

Foundation models for generalist medical artificial intelligence

Foundation models for generalist medical artificial intelligence
Foundation models for generalist medical artificial intelligence
Nature – This review discusses generalist medical artificial intelligence, identifying potential applications and setting out specific technical capabilities and training datasets necessary to…
 

Best AI-Based Photo Restoration Tools (2023)

Best AI-Based Photo Restoration Tools (2023)
Best AI-Based Photo Restoration Tools (2023)
Photographs play a crucial role in our lives by preserving priceless memories and significant experiences we can cherish forever. They serve as a way to keep us connected to our past, families, and communities. They are a physical representation of our history. Yet, pictures can deteriorate, age, or sustain various ….
 
The Emergence of Stacking: How is the Self-Referential Nature of Stacking in Large Language Models Transforming the Artificial Intelligence (AI) Industry?
The Emergence of Stacking: How is the Self-Referential Nature of Stacking in Large Language Models Transforming the Artificial Intelligence (AI) Industry?
The AI industry is evolving and coming up with new and unique research and models daily. Whether we talk about healthcare, education, retail, marketing, or business, Artificial Intelligence and Machine Learning practices are beginning to shift how industries operate. Every organization is adopting AI to include
 

How Machine Learning Plays a Key Role in Diagnosing Type 2 Diabetes

How Machine Learning Plays a Key Role in Diagnosing Type 2 Diabetes
How Machine Learning Plays a Key Role in Diagnosing Type 2 Diabetes
Type 2 diabetes is a chronic disease that affects millions of people around the world, leading to long-term health complications such as heart disease,

Latest AI Trends in April 2023: Top AI trends as of April 12th 2023

Stanford students have created RizzGPT, a tool that combines AI and augmented reality to aid individuals during challenging conversations.

The tool uses GPT-4 and Whisper to generate responses to questions asked during a conversation, which can be displayed through AR glasses with a monocle.

This technology can have applications for people with social anxiety, public speaking, job interviews, and more.

Read more here….

ChatGPT created a table of past and future AI’s
Table of past and future AI’s
ChatGPT created a table of past and future AI’s
ChatGPT created a table of past and future AI’s
 

5 programming languages to learn for AI development

 
From Python and Java to C++, R and Lisp, these languages offer powerful capabilities for working with machine learning algorithms to build AI apps.
 
AI Growth and Its Impact on the Job Market
AI Growth and Its Impact on the Job Market
Artificial intelligence (AI) has been making headlines for years as one of the most transformative technologies in the modern era.
 

The Impact of Artificial Intelligence and Machine Learning Across Various Industries

The Impact of Artificial Intelligence and Machine Learning Across Various Industries
The Impact of Artificial Intelligence and Machine Learning Across Various Industries
In recent years, artificial intelligence and machine learning have had a substantial impact on several businesses. These technologies have completely changed the way organizations run because they offer
 

Latest AI Trends in April 2023: Top AI trends as of April 11th 2023

Latest AI Trends in April 2023
Latest AI Trends in April 2023: Twitter
Twitter recently open-sourced several components of their system for recommending tweets for a user’s Twitter timeline. The release includes the code for several of the services and jobs that run the algorithm, as well as code for training machine learning models for embedding and ranking tweets.
 

How AI is helping historians better understand our past

How AI is helping historians better understand our past
How AI is helping historians better understand our past
The historians of tomorrow are using computer science to analyze the past.
 

GPT-4 Takes the Lead in Instruction-Tuning of Large Language Models: Advancing Generalization Capabilities for Real-World Tasks

GPT-4 Takes the Lead in Instruction-Tuning of Large Language Models: Advancing Generalization Capabilities for Real-World Tasks
GPT-4 Takes the Lead in Instruction-Tuning of Large Language Models: Advancing Generalization Capabilities for Real-World Tasks
The outstanding generalization skills of Large Language Models (LLMs), such as in-context learning and chain-of-though ts reasoning, have been demonstrated. Researchers have been looking towards techniques for instruction-tuning LLMs to help them follow instructions in plain language and finish jobs in the…
 
 

Enhancing AI’s Emotional Intelligence: The Role of Psychotherapy in Developing Healthy Language Models

Enhancing AI's Emotional Intelligence: The Role of Psychotherapy in Developing Healthy Language Models
Enhancing AI’s Emotional Intelligence: The Role of Psychotherapy in Developing Healthy Language Models
The emergence of publicly accessible chatbots capable of engaging in humanlike conversations has brought AI into the public spotlight, with reactions ranging from amazement to apprehension due to concerns over biases and harmful behaviors. To address these issues, a Columbia University and…
 
 
 

Here is how:

A combination of search and ChatGPT.

Instead of having a website with 10 FAQs, companies will have a chatbot to ask any question.

Instead of having to go through 10s of documents to find some info, you’ll just ask the chatbot.

Imagine being able to ask “What are the sales of X product in the last 6 months” and getting the answer in seconds.

How long it takes to get this information now?

The way it works is called “retrieval augmented generation”.

Using Azure Cognitive Search, you can search through millions of documents or data points.

It retrieves a list of the top-ranked results, kind of like a search engine.

Azure OpenAI service uses its language modeling capabilities to understand the question and the context provided by the search engine, to generate an answer in natural language.

Something very important.

All this information remains private and external to the ChatGPT language model. The data is never used to train the model because all chat sessions live entirely within the company application.

This architecture is, in my opinion, one of the most powerful AI use cases for companies.

I hope this is useful.
____
#ai #machinelearning #datascience

FAQs are dead. Internal documentation is dead. Every single company is going to have its own ChatGPT
FAQs are dead. Internal documentation is dead. Every single company is going to have its own ChatGPT

 

– App demo: https://github.com/Azure-Samples/azure-search-openai-demo/

Top AI trends as of April 10th 2023

 

Artificial Intelligence In Space: The Amazing Ways Machine Learning Is Helping To Unravel The Mysteries Of The Universe

Latest AI Trends in April 2023
Latest AI Trends in April 2023
AI is revolutionizing space exploration, from autonomous spaceflight to planetary exploration and charting the cosmos. ML algorithms help astronauts and scientists navigate and study space, avoid hazards, and classify features of celestial bodies.
 

Meet Auto-GPT: An Experimental Open-Source Application Showing the Power of LLMs like GPT-4 to Autonomously Develop and Manage Different Kinds of Tasks

Meet Auto-GPT: An Experimental Open-Source Application Showing the Power of LLMs like GPT-4 to Autonomously Develop and Manage Different Kinds of Tasks
Meet Auto-GPT: An Experimental Open-Source Application Showing the Power of LLMs like GPT-4 to Autonomously Develop and Manage Different Kinds of Tasks
Toran Bruce Richards, founder of Significant Gravitas, along with a group of developers, explores what could be accomplished by combining LLMs with other high-powered information sources and tools. These systems can be built easily using today’s LLMs, prompting approaches, knowledge centers, and open-source
 

How artificial intelligence and machine learning are transforming the healthcare industry

How artificial intelligence and machine learning are transforming the healthcare industry
How artificial intelligence and machine learning are transforming the healthcare industry
Access to basic healthcare is seen as a fundamental global right. However, in both developed and developing economies, we find the surge in chronic lifestyle ailments and rising populations overburdens
 

Meta AI Releases the Segment Anything Model (SAM): A New AI Model That Can Cut Out Any Object In A Image/Video With A Single Click

 
 
 
 
 
 

I’ve tested Google Bard vs ChatGPT and I’m Shocked: Where did Google spend All the Money over the last 10 years?;

Jarvis with GPT4 from Microsoft only runs on Linux!;

How to Create Amazing Cocktails with ChatGPT and Visualise them with Midjourney AI Image Generator;

Showerthought: towards the singularity – with humans in the loop;

ChatGPT vs ChatGPT viaq microsoft Edge (Bing)… which is better?;

Managers, Owners and Decision Makers; which position will you replace with AI;

I dont think you guys understand the sheer power of ChatGPT plugins;

MemoryGPT is like ChatGPT with long-term memory;

Top AI trends as of April 08th 2023

Impacts of AI on the future of humanity

Generative AI could transform the way we interact with enterprise software

The AI machines are coming for thought work, and other TC news

YC’s latest batch sure was a lot of ‘maybe AI can do… this?’

AI risk management: looking for help

Is criticism of LLM justified?

The ChatGPT defamation lawsuits cometh

Uncensored GPT4 x Alpaca Model & Character Creation! Amazing Role Playing!

“Morgan Freeman” reads you Frankenstein — A project I made for school

#AI #futureofhumanity #AIriskmanagement #LLM #criticism #ChatGPT #defamation #GenerativeAI #GPT4 #AlpacaModel #charactercreation #roleplaying #Frankenstein #MorganFreeman

Latest AI Trends in April 2023: Top AI trends as of April 06th 2023

 

Scientists use computational modeling to design “ultrastable” materials;

Jacob Andreas and Mingda Li honored with Junior Bose Award for Excellence in Teaching;

A four-legged robotic system for playing soccer on various terrains;

Speeding up drug discovery with diffusion generative models;

A method for designing neural networks optimally suited for certain tasks;

Strengthening trust in machine-learning models;

Learning to grow machine-learning models;

Detailed images from space offer clearer picture of drought effects on plants;

Mining the right transition metals in a vast chemical space;

Top AI trends as of April 05th 2023

AI Innovations for a Better Tomorrow

The world of artificial intelligence (AI) is continually evolving, with new advancements, applications, and ethical considerations emerging daily. A shared agenda for responsible AI progress has recently been proposed, highlighting the importance of collaboration and accountability in this rapidly developing field. Stakeholders from various sectors are joining forces to ensure that AI systems are developed and deployed ethically, transparently, and for the benefit of all.

A new AI-powered tool called Bard is making waves and inviting users to share their feedback.

This innovative platform aims to streamline and enhance the creative process for writers and content creators, with its developers eager to learn from user experiences to improve the system further.

Google AI is also making strides in helping users sleep better.

With six new AI-driven features, the tech giant aims to assist individuals in understanding and improving their sleep patterns, providing data-driven insights and recommendations to promote better rest and overall health.

In the realm of healthcare, researchers are actively exploring AI’s potential to transform diagnostics, treatment, and patient care.

The latest health AI research updates reveal promising developments in areas such as medical imaging, disease prediction, and drug discovery, paving the way for a more efficient and personalized healthcare system.

Google is pushing the boundaries of AI integration for developers and Google Workspace users.

The next generation of AI solutions promises to streamline workflows, enhance collaboration, and optimize productivity across a variety of industries and applications.

Meanwhile, four Black Founders Fund recipients are leveraging AI technology to build innovative solutions and drive positive change. Their groundbreaking work spans diverse fields, from education and healthcare to fashion and climate change, showcasing the transformative potential of AI in addressing pressing global challenges.

In the realm of quantum computing, researchers are making progress toward quantum error correction. This critical advancement will enable the creation of more stable and reliable quantum computers, which have the potential to revolutionize numerous industries by tackling problems currently unsolvable by classical computers.

AI is already making an impact on everyday life through devices such as the Google Pixel. Seven new AI-powered features are making the popular smartphone even more helpful and efficient, enhancing user experience through advanced capabilities like real-time translation, battery optimization, and camera improvements.

Finally, Google Maps is embracing AI to create a more immersive and sustainable user experience. New AI-driven features aim to provide more accurate and eco-friendly route suggestions, along with better real-time traffic updates, ultimately contributing to a more sustainable future for all.

Today’s latest trends in AI showcase the ongoing advancements and potential of this transformative technology. As we collectively strive for a better tomorrow, AI continues to play a crucial role in shaping a more efficient, sustainable, and equitable world.

#AIInnovations, #ResponsibleAI, #BardTool, #GoogleAISleep, #HealthAIResearch, #AIforDevelopers, #BlackFoundersAI, #QuantumErrorCorrection, #PixelAI, #EcoFriendlyMaps,

AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence
AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence

Top AI trends links

Watch Katie Couric and Think with Google’s new interview series;

A shared agenda for responsible AI progress;

Try Bard and share your feedback;

6 ways Google AI is helping you sleep better;

Our latest health AI research updates;

The next generation of AI for developers and Google Workspace;

How 4 Black Founders Fund recipients are building with AI;

Our progress toward quantum error correction;

7 ways AI is already making your Pixel more helpful;

New ways Maps is getting more immersive and sustainable;

Top Data Science Trends links

Time Series for Climate Change: Solar Irradiance Forecasting;

Time-Series Forecasting: Deep Learning vs Statistics — Who Wins?;

Deep Deterministic Policy Gradients Explained;

April Edition: Can AI Be Governed?;

How to Save and Load Your Neural Networks in Python;

Pipelines in Scikit-Learn: An Amazing Way to Bundle Transformations;

Green Inventory Management — Case Study;

Linear programming: Theory and applications;

A Guide to Association Rule Mining;

 

What is trending in April 2023?

 

Can AI Really Predict Lottery Results? We Asked an Expert.

Top Tech Trends in April 2023

Today’s Top Tech Trends – April 05th 2023

Today's Top Tech Trends by Djamgatech and ChatGPT
 

Today’s Top Tech Trends – April 05th 2023: Summary

In the rapidly evolving world of technology, Substack is introducing a new short-form ‘Notes’ feature that bears a striking resemblance to Twitter. This new offering aims to provide users with a fresh platform for sharing thoughts and ideas, sparking interest among content creators and consumers alike.

Entertainment enthusiasts have reason to celebrate, as many canceled HBO shows, including ‘Westworld’ and ‘Raised by Wolves,’ are now available on the Roku platform. This move allows fans to catch up on their favorite series and provides Roku users with an even richer library of content.

The automotive industry is moving full speed ahead with innovation, as the 2025 all-electric Ram 1500 Rev boasts a massive battery that could revolutionize the electric vehicle market. Additionally, the 2024 Hyundai Kona is attracting attention with its affordable price tag and over-the-air updates, making cutting-edge technology more accessible to a broader audience.

Mozart Data has announced a free tier on its platform, encouraging smaller businesses to leverage data analytics and transform their operations. By making their services more accessible, Mozart Data is helping to level the playing field between small enterprises and larger competitors.

In the creator economy, Pico, a Creator CRM company, has rebranded itself as Hype and raised $10 million in funding. This development is generating excitement among artists and influencers eager to harness the power of the rebranded platform to grow their online presence and manage their careers.

The US is grappling with a challenge in the crypto community, as it struggles to retain top blockchain developers who are seeking safer havens for their work. These talented individuals are exploring opportunities abroad, looking for more supportive environments for their innovative projects.

In immigration news, many startup founders and employees are seeking advice on how to transfer their H-1B visas and green cards to their new ventures. With experts like Sophie providing guidance, these individuals can navigate the complexities of the immigration process and contribute to the thriving tech ecosystem.

Coast, a demo platform for API-first companies, has secured $2.1 million in funding, enabling more businesses to develop, test, and showcase their API solutions. Meanwhile, Verto, a digital banking platform, has announced that a quarter of SVB customers operating in Africa have opened accounts with them, highlighting the rapid growth of the fintech sector.

April 05th top tech trends showcase the ongoing innovation and expansion within the industry, as new platforms, services, and developments continue to shape the way we live, work, and connect with one another.

Storized by ChatGPT-4

#TechTrendsToday, #SubstackNotes, #HBOonRoku, #ElectricVehicles, #MozartData, #HypeCRM, #CryptoTalent, #ImmigrationStartups, #APIPlatform, #FintechGrowt

Today's Top Tech Trends - April 05th 2023 - AI Unraveled
Today’s Top Tech Trends – April 05th 2023 – AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence

Today’s Top Tech Trends – April 05th 2023: Top Tech Trends links

Substack’s new short-form ‘Notes’ feed looks a lot like Twitter;

Many canceled HBO shows, including ‘Westworld’ and ‘Raised by Wolves,’ are now on Roku;

The 2025 all-electric Ram 1500 Rev has an absolutely massive battery;

Mozart Data announces free tier to encourage smaller businesses to get on platform;

Creator CRM company Pico rebrands to Hype, raises $10 million;

The US is losing crypto talent as blockchain devs seek safer havens;

The 2024 Hyundai Kona will be one the most affordable cars with over-the-air updates;

Ask Sophie: How do we transfer H-1Bs and green cards to our startup?;

Coast, a demo platform for ‘API-first’ companies, lands $2.1M;

Verto claims a quarter of SVB customers operating in Africa are opening accounts on its platform;

Sony is reportedly developing a new PlayStation handheld;

ChatGPT vs Google Bard: Which is better? We put them to the test.;

Open garage doors anywhere in the world by exploiting this “smart” device;

Users fume after My Cloud network breach locks them out of their data;

Hackers exploit WordPress plugin flaw that gives full control of millions of sites;

These angry Dutch farmers really hate Microsoft;

3CX knew its app was flagged as malicious but took no action for 7 days;

AI-generated video of Will Smith eating spaghetti astounds with terrible beauty;

Trojanized Windows and Mac apps rain down on 3CX users in massive supply chain attack;

Pro-Russian hackers target elected US officials supporting Ukraine;

Fearing “loss of control,” AI critics call for 6-month pause in AI development;

Top Android Trends on April 05th, 2023

Apple reveals details of its first store in India;

vivo T2 5G and T2x 5G’s India launch date announced, will be different from Chinese models;

Google Now Launcher will stop working in April;

New Peloton Watch App lets you use your Wear OS 3+ watch as a heart rate monitor;

Samsung Galaxy Tab S9 Ultra chipset, battery details revealed;

vivo X Fold2 certified with 120W fast charging;

Samsung Galaxy Z Flip5 and Galaxy Z Fold5’s colors tipped;

Samsung Free to become Samsung News;

Samsung Galaxy A54 lands at Verizon on April 6;

4 emerging technologies you need to know about via Gartner...

1. Smart world expands with fusion of physical-digital experiences.
2. Productivity accelerates with #AI advances.
3. Transparency/privacy get scrutiny amid exponential growth in data collection.
4. New critical tech enablers create new business + monetization opportunities

4 emerging technologies you need to know about via Gartner: Today's Top Tech Trends - April 05th 2023
4 emerging technologies you need to know about via Gartner: Today’s Top Tech Trends – April 05th 2023

Latest AI Trends in April 2023

Can AI Really Predict Lottery Results? We Asked an Expert.