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Dec 6, 2023 · Our first version, Gemini 1.0, is optimized for different sizes: Ultra, Pro and Nano. These are the first models of the Gemini era and the first realization of the vision we had when we formed Google DeepMind earlier this year. This new era of models represents one of the biggest science and engineering efforts we’ve undertaken as a company.
May 14, 2024 · Overview — Find out more about Google DeepMind. Responsibility & Safety — We want AI to benefit the world, so we must be thoughtful about how it’s built and used. Education — Broadening participation in science and protect the future of research and education. Careers — Join a community with a unique mission.
Overview — Find out more about Google DeepMind. Responsibility & Safety — We want AI to benefit the world, so we must be thoughtful about how it’s built and used. Education — Broadening participation in science and protect the future of research and education. Careers — Join a community with a unique mission.
Google DeepMind aims to build advanced AI to expand our knowledge and find new answers. By solving this one thing, we believe we could help people solve thousands of problems. We’re a team of ...
A career at Google DeepMind offers the opportunity to work closely with some of the best minds within the scientific community and beyond. Our research, technical and operational teams have made cutting-edge breakthroughs in areas like protein structure prediction, mathematics, nuclear fusion, and more. Our goals are ambitious but will be ...
Mar 19, 2024 · Overview — Find out more about Google DeepMind. Responsibility & Safety — We want AI to benefit the world, so we must be thoughtful about how it’s built and used. Education — Broadening participation in science and protect the future of research and education. Careers — Join a community with a unique mission.
Nov 29, 2023 · Today, in a paper published in Nature, 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.
