SaiSatish

Planning winning strategies in unknown environments is a step forward in the pursuit of general-purpose algorithms. Read More

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

Sports analytics is in the midst of a remarkably important era, offering interesting opportunities for AI researchers and sports leaders alike. Read More

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

In partnership with EMBL-EBI, were incredibly proud to be launching the AlphaFold Protein Structure Database. Read More

In new work, algorithmic advances and new training environments lead to agents which exhibit general heuristic behaviours. Read More

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

Our latest research and state-of-the-art model advances the science of Precipitation Nowcasting. Read More

Our new Enformer architecture advances genetic research by improving the ability to predict how DNA sequence influences gene expression. Read More