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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!

Latest AI Trends in April 2023: April 28th 2023

What is Auto-GPT, and why does it matter?

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

1. Google Image Search Result Mishaps

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

Google Announces Machine Learning Powered API Abuse Detection

Google recently announced an API abuse detection dashboard powered by machine learning algorithms.

Latest AI Trends in April 2023: April 27th 2023

Synthetic data could be better than real data

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,…

“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

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.

Latest AI Trends in April 2023: April 26th 2023

Bill Gates Says AI Will Be Teaching Kids to Read in 18 Months

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

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?

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? – Data Science Central %

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.

Latest AI Trends in April 2023: April 25th 2023

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.

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

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

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 …

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

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? 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

How is artificial intelligence used in fraud detection?

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

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. Experts are still exploring the full use of nanowire networks…

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.

Latest AI Trends in April 2023: April 21st 2023

Artificial intelligence to aid future exoplanet hunt

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 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

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

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

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 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

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

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

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

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

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

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!’

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

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:

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.

#jobsearch #ArtificialIntelligence #Future #Innovation

Are conscious machines possible?

 

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

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

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

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

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

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

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

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 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

Enhance digital zoom on non-Pro iPhones

Latest AI Trends in April 2023: April 14th 2023

Ask a Techspert: 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

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

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

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

AI is becoming more ubiquitous and more accessible. Those prospects are exciting but there remain challenges regarding fairness and de-biased results.

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

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 ….

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)

A New Approach to Computation Reimagines Artificial Intelligence

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

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)

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 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

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

 

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

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

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

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

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

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…

FAQs are dead. Internal documentation is dead. Every single company is going to have its own ChatGPT.

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

 

– 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

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

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

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

 

Top seven Artificial Intelligence careers to pursue in 2023

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,

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