We share the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. We introduce Graph Networks for Materials Exploration (GNoME), our new deep learning tool that dramatically increases the speed and efficiency of discovery by predicting the stability of new materials.
We share the discovery of 2.2 million new crystals – equivalent to nearly 800 years’ worth of knowledge. We introduce Graph Networks for Materials Exploration (GNoME), our new deep learning tool that dramatically increases the speed and efficiency of discovery by predicting the stability of new materials.
Announcing our most advanced music generation model and two new AI experiments, designed to open a new playground for creativity
Announcing our most advanced music generation model and two new AI experiments, designed to open a new playground for creativity
Experience AI's course and resources are expanding on a global scale
Experience AI's course and resources are expanding on a global scale
We introduce GraphCast, a state-of-the-art AI model able to make medium-range weather forecasts with unprecedented accuracy
We introduce GraphCast, a state-of-the-art AI model able to make medium-range weather forecasts with unprecedented accuracy
Progress update: Our latest AlphaFold model shows significantly improved accuracy and expands coverage beyond proteins to other biological molecules, including ligands.
Progress update: Our latest AlphaFold model shows significantly improved accuracy and expands coverage beyond proteins to other biological molecules, including ligands.
Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems
Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems
Robots are great specialists, but poor generalists. Typically, you have to train a model for each task, robot, and environment. Changing a single variable often requires starting from scratch. But what if we could combine the knowledge across robotics and create a way to train a general-purpose robot?
Robots are great specialists, but poor generalists. Typically, you have to train a model for each task, robot, and environment. Changing a single variable often requires starting from scratch. But what if we could combine the knowledge across robotics and create a way to train a general-purpose robot?
New AI tool classifies the effects of 71 million ‘missense’ mutations.