DeepMind

A British AI research laboratory (2010–2023) that set out to build artificial general intelligenceartificial general intelligence, n.: AI that could learn and do almost any mental task a capable adult can, rather than excelling at one narrow job. Experts disagree on the exact bar and on when, or whether, it will arrive. by combining deep learningdeep learning, n.: Machine learning done with neural networks built from many stacked layers: raw data such as pixels, sound or text goes in at one end, and each layer turns what it receives into something more abstract., reinforcement learningreinforcement learning, n.: A way of teaching a computer program by trial and error: it tries actions, earns points for good results and penalties for bad ones, and gradually learns which choices pay off over time. and ideas from neuroscience. Its deep Q-networkdeep Q-network, n.: A method, made famous by DeepMind in 2013–2015, in which a neural network learned to play dozens of Atari video games from screen pixels and the score alone, many at human level. learned dozens of Atari games from raw pixels (2013–2015); AlphaGoAlphaGo, prop. n.: A DeepMind program that in 2016 beat Lee Sedol, one of the world's best players of the board game Go, a decade or more before many experts expected a computer to manage it. defeated Lee Sedol at Go in 2016 and was followed by AlphaZeroAlphaZero, prop. n.: A 2017 DeepMind program that taught itself chess, shogi and Go from nothing but the rules by playing against itself, and within hours of training beat the strongest existing programs. and MuZeroMuZero, prop. n.: A DeepMind game-playing program from 2019 that mastered Go, chess, shogi and Atari games without being told the rules, by learning its own simplified model of each game to plan with.; WaveNetWaveNet, prop. n.: A DeepMind model that generates speech and other sounds one tiny audio sample at a time, producing voices far more natural than earlier computer speech. (2016) changed speech synthesis; and AlphaFoldAlphaFold, prop. n.: A DeepMind AI system that predicts the 3D shape of proteins from their chemical sequence, often about as accurately as laboratory experiments. It cracked a problem biologists had worked on for 50 years and won a Nobel Prize. (2018–2021) largely solved the prediction of protein structures, bringing Demis Hassabis and John Jumper a share of the 2024 Nobel Prize in Chemistry. Other work included AlphaStarAlphaStar, prop. n.: A DeepMind AI that learned to play the real-time strategy game StarCraft II well enough to reach its highest public rank, Grandmaster, in 2019. for the video game StarCraft II, the generalist agent GatoGato, prop. n.: A 2022 DeepMind AI that used one set of learned settings for hundreds of jobs, from chatting and describing pictures to playing video games and moving a real robot arm — an early step toward general-purpose AI agents. and the compute-optimal Chinchilla model behind the Chinchilla scaling lawsChinchilla scaling laws, n.: A 2022 DeepMind finding that, for a fixed amount of computing, language models had been made too big and trained on too little text; the best balance is roughly 20 word-pieces of text for every adjustable number inside the model.. Its health unit's access to about 1.6 million London patient records led the UK Information Commissioner to rule in 2017 that the supplying hospital trust had broken data-protection law.

Before the merger, DeepMind and Google Brain competed for the same compute and the same researchers.