Google DeepMind (United Kingdom)

Advancing mathematics research with AI-driven formal proof search

Large language models (LLMs) increasingly excel at mathematics tasks, but their unreliability limits their utility in mathematics research. A mitigation is to use LLMs to generate formal proofs in languages such as Lean, in which the compiler verifies every proof step. We present...

Function-preserving watermarking of AI-generated proteins

Abstract Generative artificial intelligence (AI) models are revolutionizing biology, with tools such as AlphaFold 3 and protein design models accelerating breakthroughs in protein structure prediction and the creation of new functional proteins 1 . Tracking and establishing the p...

A childminder's guide to settling in

What does a good settling in process look like? Sally McGeown looks at attachment, home visits, sharing information, and gives tips for parents

Category-Native Solomonoff Approximation: From Algorithmic Geometry to Kernels, Operators, and Induction

Solomonoff induction mixes all computable explanations with description-length weights, but it is incomputable. This theory-and-position paper argues that practical approximation must be category-native: one should first declare the mathematical category in which a computable sha...