CMSA The Geometry of Machine Learning
CMSA EVENTS
The Geometry of Machine Learning
Dates: September 15–18, 2025
Location: Harvard CMSA, Room G10, 20 Garden Street, Cambridge MA 02138
Despite the extraordinary progress in large language models, mathematicians suspect that other dimensions of intelligence must be defined and simulated to complete the picture. Geometric and symbolic reasoning are among these. In fact, there seems to be much to learn about existing ML by considering it from a geometric perspective, e.g. what is happening to the data manifold as it moves through a NN? How can geometric and symbolic tools be interfaced with LLMs? A more distant goal, one that seems only approachable through AIs, would be to gain some insight into the large-scale structure of mathematics as a whole: the geometry of math, rather than geometry as a subject within math. This conference is intended to begin a discussion on these topics.
Organizers: Michael R. Douglas (CMSA) and Mike Freedman (CMSA)
Details TBA.
See the CMSA website for more information.
Support provided by Logical Intelligence.
