The Geometry of Machine Learning 2026

Published on September 10, 2026

Harvard CMSA, Room G10
20 Garden St.
Cambridge
Thu., Sep. 10, 2026, 8:45 a.m. – 12:45 p.m.

The Geometry of Machine Learning 2026

Large language models are presently, and will increasingly, be complemented by other dimensions of intelligence: formal verification and energy-based optimizers, becoming parts of larger ecosystems. Can AIs reason geometrically and can we use geometry to reveal how data is currently processed in NNs? Can AIs reveal the geometry of mathematics, as well as studying geometry as a subject within math. This conference is intended to continue the discussion of these topics.

Online Locationharvard.zoom.us…
Gazette Classification: Conferences, Science
Organization/Sponsor: Harvard Center of Mathematical Sciences and Applications
Speaker(s): Nada Amin, Harvard, Randall Balestriero, Brown, Michael Brenner, Harvard and Google, Bennet Chow, UCSD, Surya Ganguli, Stanford, Boris Hanin, Princeton, Roi Holtzman, Oxford, Dimitry Krotov, IAS, Slava Krushkal, Virginia, Mike Mulligan, UCR, Logical Intelligence, Luca Pesce, Harvard, Gabriel Poesia, U Michigan, Mathew Vanherreweghe, Logical Intelligence, Sean Welleck, CMU, Mattiew Wyart, JHU
Cost: Free
Ticket Web Linkcmsa.fas.harvard.edu…
Contact Info: Alison Sundet [email protected]
Harvard Key Required: No
More infocmsa.fas.harvard.edu…