Blog
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Company
2023: A Year of Groundbreaking Advances in AI and Computing
This has been a year of incredible progress in the field of Artificial Intelligence (AI) research and its practical applications.
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Research
FunSearch: Making new discoveries in mathematical sciences using Large Language Models
In a paper published in Nature, we introduce FunSearch, a method for searching for “functions” written in computer code, and find new solutions in mathematics and computer science. FunSearch works...
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Research
Google DeepMind at NeurIPS 2023
The Neural Information Processing Systems (NeurIPS) is the largest artificial intelligence (AI) conference in the world. NeurIPS 2023 will be taking place December 10-16 in New Orleans, USA.Teams...
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Technologies
Introducing Gemini: our largest and most capable AI model
Making AI more helpful for everyone
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Research
Millions of new materials discovered with deep learning
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...
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Technologies
Transforming the future of music creation
Announcing our most advanced music generation model and two new AI experiments, designed to open a new playground for creativity
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Company
Empowering the next generation for an AI-enabled world
Experience AI's course and resources are expanding on a global scale
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Research
GraphCast: AI model for faster and more accurate global weather forecasting
We introduce GraphCast, a state-of-the-art AI model able to make medium-range weather forecasts with unprecedented accuracy
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Research
A glimpse of the next generation of AlphaFold
Progress update: Our latest AlphaFold model shows significantly improved accuracy and expands coverage beyond proteins to other biological molecules, including ligands.
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Responsibility & Safety
Evaluating social and ethical risks from generative AI
Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems
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Research
Scaling up learning across many different robot types
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...
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Research
A catalogue of genetic mutations to help pinpoint the cause of diseases
New AI tool classifies the effects of 71 million ‘missense’ mutations.