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Building architectures that can handle the world’s data

Perceiver IO, a more general version of the Perceiver architecture, can produce a wide variety of outputs from many different inputs.

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.

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.

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.

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

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.

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.

Using JAX to accelerate our research

An introduction to our JAX ecosystem and why we find it useful for our AI research.

AlphaFold: a solution to a 50-year-old grand challenge in biology

In a major scientific advance, AlphaFoldis recognised as a solution to the protein folding problem.

Breaking down global barriers to access

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