Our monthly AI for Mathematical Sciences seminar series, sponsored by Nebius, explores how AI is reshaping mathematics and theoretical physics. The talks start in our Faraday seminar room, usually on a Thursday, with discussion afterwards over coffee in the Old Post room.

AIMS27 Nov
The future of proof
Ken Ono explores how AI changes mathematical discovery and proof, and what these developments mean for rigor, creativity, and human insight.

AIMS10 Nov
A year of AI maths
Gergely Bérczi tracks a problem through a year of rapid AI progress, asking what mathematicians are for when machines can settle conjectures.

AIMS19 Oct
What maths means to us
Geordie Williamson explores what AI’s rise reveals about how humans do mathematics, from definitions and prediction to the role of geometry.
AIMS14 May
AI meets string theory
Andre Lukas shows how machine learning tackles string theory’s vast data, uncovering patterns, exploring its landscape and solving equations.
AIMS23 Apr
Unstable singularities
Javier Gómez-Serrano shows how machine learning uncovers unstable singularities in fluid dynamics equations, achieving near-maximal accuracy.
AIMS2 Apr
New maths with AI
Adam Zsolt Wagner discusses how AI-driven search in language space accelerates mathematical discovery and progress on long-standing problems.
AIMS9 Mar
Formal proofs with AI
Kevin Buzzard opens AIMS with his views on what a new era of formalised maths, Lean and AI—verified proofs mean for the future of research.