Today in AI - Dirk Zee

Hey there, welcome back to AI-ACADEMY.

Don’t miss these hot topics in AI today:

• Google AI Unveils Pathways, a New AI Framework for Training Large Language Models Pathways is a new AI framework from Google AI that makes it easier to train large language models (LLMs). LLMs are a type of artificial intelligence that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. Pathways is designed to be more efficient and scalable than previous LLM training frameworks, and it can be used to train LLMs on a variety of tasks.

• DeepMind's Gato AI Can Master Multiple Atari Games at Once DeepMind has developed a new AI called Gato that can master multiple Atari games at once. Gato is a multi-modal AI that can learn to play games using different senses, such as vision, touch, and sound. Gato has been trained on a dataset of over 50 Atari games, and it can now play them all at a superhuman level.

• OpenAI's Dactyl Robot Can Now Pick Up and Manipulate Objects with Human-Like Dexterity OpenAI has released a new version of its Dactyl robot that can now pick up and manipulate objects with human-like dexterity. Dactyl is a four-fingered robot hand that is controlled by a neural network. The new version of Dactyl can now grasp and manipulate objects that are much smaller and more delicate than previous versions.

• AI Researchers Develop New Method for Generating Realistic Images Researchers from the University of California, Berkeley have developed a new method for generating realistic images. The method, called StyleGAN3, is based on a generative adversarial network (GAN). GANs are a type of machine learning model that can be used to create realistic images. StyleGAN3 is able to generate images that are more realistic than previous GANs, and it can also generate images of objects that do not exist in the real world.

• AI Researchers Develop New Method for Generating Realistic Images

  AI Can Now Detect Fake News With 90% Accuracy A team of researchers from the University of Washington has developed an AI that can detect fake news with 90% accuracy. The AI, called FakeCatcher, is trained on a dataset of real and fake news articles. FakeCatcher is able to identify fake news articles by analyzing their language, structure, and other features.

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Have a great day
Dirk Zee