Google DeepMind at NeurIPS 2023
AI

Google DeepMind at NeurIPS 2023

Research Published 8 December 2023 Towards more multimodal, robust, and general AI systems Next week marks the start of the 37th annual conference on Neural Information Processing Systems (NeurIPS),the largest artificial intelligence (AI) conference in the world. NeurIPS 2023 will be taking place December 10-16 in New Orleans, USA. Teams from across Google DeepMind are

Google’s most capable AI model yet
AI

Google’s most capable AI model yet

Making Gemini available to the world Gemini 1.0 is now rolling out across a range of products and platforms: Gemini Pro in Google products We’re bringing Gemini to billions of people through Google products. Starting today, Bard will use a fine-tuned version of Gemini Pro for more advanced reasoning, planning, understanding and more. This is

Millions of new materials discovered with deep learning
AI

Millions of new materials discovered with deep learning

Science Published 29 November 2023 Authors Amil Merchant and Ekin Dogus Cubuk AI tool GNoME finds 2.2 million new crystals, including 380,000 stable materials that could power future technologies Modern technologies from computer chips and batteries to solar panels rely on inorganic crystals. To enable new technologies, crystals must be stable otherwise they can decompose,

Transforming the future of music creation
AI

Transforming the future of music creation

Acknowledgements: Lyria was made possible by key research and engineering contributions from Kazuya Kawakami, David Ding, Björn Winckler, Cătălina Cangea, Tobenna Peter Igwe, Will Grathwohl, Yan Wu, Yury Sulsky, Jacob Kelly, Charlie Nash, Conor Durkan, Yaroslav Ganin, Tom Eccles, Zach Eaton-Rosen, Jakob Bauer, Mikita Sazanovich, Morgane Rivière, Evgeny Gladchenko, Mikołaj Bińkowski, Ali Razavi, Jeff Donahue,

Empowering the next generation for an AI-enabled world
AI

Empowering the next generation for an AI-enabled world

Experience AI’s course and resources are expanding on a global scale AI has the potential to drive one of the greatest social, economic and scientific transformations in history, and we need to ensure the technology benefits as many people as possible. One important way to do this is through access to AI education to develop

A glimpse of the next generation of AlphaFold
AI

A glimpse of the next generation of AlphaFold

Science Published 31 October 2023 Authors Google DeepMind AlphaFold team and Isomorphic Labs team Progress update: Our latest AlphaFold model shows significantly improved accuracy and expands coverage beyond proteins to other biological molecules, including ligands Since its release in 2020, AlphaFold has revolutionized how proteins and their interactions are understood. Google DeepMind and Isomorphic Labs

Evaluating social and ethical risks from generative AI
AI

Evaluating social and ethical risks from generative AI

Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems Generative AI systems are already being used to write books, create graphic designs, assist medical practitioners, and are becoming increasingly capable. Ensuring these systems are developed and deployed responsibly requires carefully evaluating the potential ethical and social risks they may

Neural algorithmic reasoning
AI

Neural algorithmic reasoning

In this article, we will talk about classical computation: the kind of computation typically found in an undergraduate Computer Science course on Algorithms and Data Structures [1]. Think shortest path-finding, sorting, clever ways to break problems down into simpler problems, incredible ways to organise data for efficient retrieval and updates. Of course, given The Gradient’s

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