We’ve developed a method to assess whether a neural network classifier can reliably defend against adversarial attacks not seen during training. Our method yields a new metric, UAR (Unforeseen Attack Robustness), which evaluates the robustness of a single model against an unanticipated attack, and h

We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more truthful and less toxic, using techniques developed through our alignment research. These InstructGPT models, which are trained with humans in the loop, are now deployed as the defa

We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small amount of labeled contractor data. With fine-tuning, our model can learn to craft diamond tools, a task that usually takes proficient humans

Limited memory is a type of artificial intelligence. It refers to an AI’s ability to store previous data and predictions, using that data to make better predictions. With limited memory, ML architecture becomes a little more complex. Every ML model requires limited memory to be created, but the mod

The reactive machine type is the most basic variety of AI. It merely reacts to current scenarios and cannot rely on upon taught or recalled data to make decisions in the present. Reactive machines do away with maps and other forms of pre-planning altogether and focus on live observations of the en

Creating Art Using Artificial Intelligence (VQGAN + CLIP) No coding knowledge required. The End of An Era? For aeons, art has been the realm of human creativity and imagination. From the Mona Lisa by Leonardo da Vinci to The Starry Night by Vincent van Gogh, artistic skill stood as a testament to

Supervised Learning and The Semantic Tower (Sculpting semantics with Stopwords and Semantic Primes) Let’s do a thought experiment. Think of something outlandish that you have never experienced. Describe it to yourself, your wife, your kids (or in my case, my cat). I am 100% sure that you will be

Robots were the first-known automated type machines people got to know. There was a time when robots were developed for performing specific tasks, yes such machines were earlier developed without any artificial intelligence (AI) to perform only repetitive tasks. But now the scenarios are differen

Hey everyone. I hope you are well. In this issue, we dive into an ML research essay on the social dilemma, some exciting deals to make your AI-holiday shopping even better, the misconceptions of AI and the challenges of natural language generation (NLG), an updated chart of all significant neural

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It’s hard to find a discussion about AI safety that doesn’t focus on control. The logic is, if we’re not controlling it, something bad will happen. This sounds to me like actual, real life madness. Do we honestly think that “laws”, “control structures” or human goals will matter to a super-intel

1.The potential for superintelligent AI to outstrip human intelligence, leading to humans becoming subordinate to AI. 2. The potential for AI to be used for malicious purposes, such as creating autonomous weapons or interfering with critical infrastructure. 3. The potential for AI to cause uninte

The technological breakthrough that would be most beneficial to humanity is the development of fusion energy. Fusion energy has the potential to provide an virtually limitless supply of clean, safe and affordable energy. This would be a game-changer for humanity, as it would enable us to meet our

Narrow AI is created to solve one given problem, for example, a chatbot. Artificial general intelligence (AGI) is a theoretical application of generalized artificial intelligence into any domain, solving any problem that requires AI. What is Narrow AI? Artificial Narrow Intelligence (ANI), someti

Deep Learning is a subset of Machine Learning that learns by imitating the inner working of the human brain in order to process data and implement decisions based on that data. Basically, Deep Learning uses artificial neural networks to implement machine learning. These neural networks are connec

We’ve trained a system that solves grade school math problems with nearly twice the accuracy of a fine-tuned GPT-3 model. It solves about 90% as many problems as real kids: a small sample of 9-12 year olds scored 60% on a test from our dataset, while our system scored 55% on those same problems. Thi

We trained “critique-writing” models to describe flaws in summaries. Human evaluators find flaws in summaries much more often when shown our model’s critiques. Larger models are better at self-critiquing, with scale improving critique-writing more than summary-writing. This shows promise for using A

Artificial consciousness (AC), also known as machine consciousness (MC) or synthetic consciousness (Gamez 2008; Reggia 2013), is a field related to artificial intelligence and cognitive robotics. The aim of the theory of artificial consciousness is to "Define that which would have to be synthesized

Theory of mind is the ability to attribute mental states — beliefs, intents, desires, emotions, and knowledge — to ourselves and others. “As humans we assume that others want, think, believe and the like, and thereby infer states that are not directly observable, using these states anticipatorily,

Computer vision Teaching computers to see more sharply with processing in the cloud A combination of new GPUs, more widely available cloud data centers, and large data sets is broadening use of computer vision in industry. Teaching computers to see more sharply with processing in the cloud At the L

But current techniques of farming won’t be able to cater the desired need ,not even close to suggested numbers. Thus we have no choice but to rely on Artificial Intelligence for scalability as well as efficiency. 1. Tackling labor : It is evident that today less people are entering farming prof

Towards AI Announces New Investment to Expand Platform for the AI Community Towards AI has grown to over two thousand authors and hundreds of thousands of followers from the AI community since its launch in 2019. The investment will drive an influx of resources to rapidly expand and enhance Tow

Today, consumers constantly interact with social media. Many of us may even say we are addicted to our screens. Companies are very eager to take advantage of our constant engagement with platforms such as Facebook, Twitter, and Snapchat. As a result, a growing number are incorporating artificial

AI Training at Scale➡️ This is a part of the series of blog posts related to Artificial Intelligence Implementation. If you are interested in the background of the story or how it goes: ➡️The term refers to scalability in expanding image dataset to be used in Machine Learning training process, and

➡️Semi-supervised learning(SSL) is one of the artificial intelligence(AI) methods that have become popular in the last few months. Companies such as Google have been advancing the tools and frameworks relevant for building semi-supervised learning applications. Google Expander is a great example

Mathematics is the language with which God has written the universe.” -Galileo Galilei The future we have seen in science fiction movies is here. From virtual reality to functional gadgets, AI has invaded our lives in ways that no one has ever seen or expected before. AI tools and chatbots have

What is the root of the word “Artificial Intelligence”? After playing a significant role in defining the area devoted to the creation of intelligent machines, John McCarthy, an American computer scientist pioneer and inventor, was called the “Father of Artificial Intelligence.” In his 1955 proposal

Look at the above painting. I mean really look at it. What do you see? Well, we see a human on the left (Adam) and the God on the right (with his/her angels) touching their fingers. But there is more to it. See the right side of the picture where the God stays. Doesn’t it look like a human brain

Recommender Systems When you are using Netflix, do you get a recommendation of movies and series based on your past choices or genres you like? This is done by Recommender Systems that provide you some guidance on what to choose next among the vast choices available online. A Recommender System

Artificial intelligence (AI) technologies and techniques have useful purposes in just about every domain of behavioral and mental health care including clinical decision-making, treatments, assessment, self-care, healthcare management, research and more. This introductory chapter provides an overvie