Demis Hassabis

11 entries between January 2016 and October 2024, 3 turning points.

Turning points

  1. AlphaFold 2 nears laboratory accuracy at CASP14

    Organizers of the fourteenth Critical Assessment of protein Structure Prediction said on 30 November 2020 that DeepMind’s AlphaFold 2 had predicted about two-thirds of the competition’s target proteins to an accuracy comparable to laboratory methods.

  2. AlphaGo Zero learns Go from self-play alone

    DeepMind announced AlphaGo Zero, trained only by playing itself from random play, with no human games and no hand-crafted features. After three days it beat the version that had defeated Lee Sedol, 100 games to nil. Nature published the work the next day.

  3. AlphaGo defeats Lee Sedol 4-1 in Seoul

    DeepMind’s AlphaGo won the last game of a five-game match against Lee Sedol in Seoul on 15 March 2016, taking the series 4-1. Lee, a nine-dan professional, won game four, the only game the program lost. The winner’s $1 million prize went to charity.

Every entry

  1. Nobel chemistry prize honors AlphaFold and David Baker

    The Royal Swedish Academy of Sciences gave half of the 2024 Nobel Prize in Chemistry to Demis Hassabis and John Jumper of Google DeepMind for protein structure prediction with AlphaFold, and half to David Baker of the University of Washington for computational protein design.

  2. DeepMind and Isomorphic Labs unveil AlphaFold 3

    Google DeepMind and Isomorphic Labs announced AlphaFold 3 on 8 May 2024, extending the protein-structure predictor to complexes of proteins with DNA, RNA, small-molecule ligands, and ions. The Nature paper reported at least a 50% accuracy gain over prior methods.

  3. Google launches Gemini, built to be multimodal from the start

    Google and Google DeepMind announced Gemini 1.0 on 6 December 2023 in three sizes, Ultra, Pro and Nano. Google described it as built to be multimodal from the start rather than adapted afterward, and said Ultra was the first model past human-expert performance on MMLU, at 90.0%.

  4. AI researchers and executives sign a statement on extinction risk

    The Center for AI Safety published a one-sentence statement on 30 May 2023, saying that reducing the risk of extinction from AI should be a global priority beside pandemics and nuclear war. Hundreds signed, among them Geoffrey Hinton, Yoshua Bengio, Demis Hassabis and Sam Altman.

  5. Google merges Brain and DeepMind into Google DeepMind

    Google said on 20 April 2023 that it was combining the Brain team from Google Research with DeepMind into a single unit called Google DeepMind, led by DeepMind’s co-founder and chief executive Demis Hassabis. Google said the move would accelerate its progress in AI.

  6. AlphaFold 2 nears laboratory accuracy at CASP14

    Organizers of the fourteenth Critical Assessment of protein Structure Prediction said on 30 November 2020 that DeepMind’s AlphaFold 2 had predicted about two-thirds of the competition’s target proteins to an accuracy comparable to laboratory methods.

  7. AlphaZero learns chess and shogi from the rules alone

    DeepMind posted a paper describing AlphaZero, one algorithm that, given only the rules, reached superhuman play at chess, shogi and Go within 24 hours of self-play training and beat the reigning computer champion program in each game.

  8. AlphaGo Zero learns Go from self-play alone

    DeepMind announced AlphaGo Zero, trained only by playing itself from random play, with no human games and no hand-crafted features. After three days it beat the version that had defeated Lee Sedol, 100 games to nil. Nature published the work the next day.

  9. AlphaGo defeats Ke Jie 3-0 in Wuzhen

    AlphaGo played Ke Jie, then the world’s top-ranked Go player, in three games at the Future of Go Summit in Wuzhen, China, taking the first by half a point and the next two by resignation. DeepMind had offered a $1.5 million prize.

  10. AlphaGo defeats Lee Sedol 4-1 in Seoul

    DeepMind’s AlphaGo won the last game of a five-game match against Lee Sedol in Seoul on 15 March 2016, taking the series 4-1. Lee, a nine-dan professional, won game four, the only game the program lost. The winner’s $1 million prize went to charity.

  11. Nature publishes the paper behind AlphaGo

    Nature published “Mastering the game of Go with deep neural networks and tree search” by David Silver, Demis Hassabis and 18 co-authors at Google DeepMind. It disclosed that AlphaGo had already beaten the European champion Fan Hui five games to nil in October 2015.