AlphaFold: a solution to a 50-year-old grand challenge in biology
In a major scientific advance, the latest version of our AI system AlphaFold has been recognised as a solution to this grand challenge by the organisers of the biennial Critical Assessment of protein…
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Mastering Stratego, the classic game of imperfect information
Game-playing artificial intelligence (AI) systems have advanced to a new frontier. Stratego, the classic board game that’s more complex than chess and Go, and craftier than poker, has now been…
Discovering novel algorithms with AlphaTensor
In our paper, published today in Nature, we introduce AlphaTensor, the first artificial intelligence (AI) system for discovering novel, efficient, and provably correct algorithms for fundamental tasks…
AlphaFold reveals the structure of the protein universe
Today, in partnership with EMBL’s European Bioinformatics Institute (EMBL-EBI), we’re now releasing predicted structures for nearly all catalogued proteins known to science, which will expand the…
«The AlphaFold DB serves as a ‘google search’ for protein structures, providing researchers with instant access to predicted models of the proteins they're studying, enabling them to focus their effort and expedite experimental work.»
Advancing sports analytics through AI research
Sports analytics is in the midst of a remarkably important era, offering interesting opportunities for AI researchers and sports leaders alike.
Game theory as an engine for large-scale data analysis: EigenGame maps out a new approach to solve…
Our research explored a new approach to an old problem: we reformulated principal component analysis (PCA), a type of eigenvalue problem, as a competitive multi-agent game we call EigenGame.
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