Perceiver IO, a more general version of the Perceiver architecture, can produce a wide variety of outputs from many different inputs.Read More
Generally capable agents emerge from open-ended play
In new work, algorithmic advances and new training environments lead to agents which exhibit general heuristic behaviours.Read More
Putting the power of AlphaFold into the world’s hands
In partnership with EMBL-EBI, were incredibly proud to be launching the AlphaFold Protein Structure Database.Read More
An update on our racial justice efforts
To help combat racism and advance racial equity, we’ve made donations to organisations that support Black communities in the AI/ML space.Read More
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.Read More
Game theory as an engine for large-scale data analysis
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.Read More
MuZero: Mastering Go, chess, shogi and Atari without rules
Planning winning strategies in unknown environments is a step forward in the pursuit of general-purpose algorithms.Read More
Using JAX to accelerate our research
Here we share our experience of working with JAX, outline why we find it useful for our AI research, how we are supporting JAX development, and give an overview of the ecosystem we are building to support researchers everywhere.Read More
AlphaFold: a solution to a 50-year-old grand challenge in biology
In a major scientific advance, the latest version of our AI systemAlphaFoldhas been recognised as a solution to the protein folding problem by the organisers of the biennial Critical Assessment of protein Structure Prediction (CASP).Read More