Talk page
Title:
Machine-Learning Mathematical Structures
Speaker:
Abstract:
We present a number of recent experiments on how various standard machine-learning algorithms can help with pattern detection across disciplines ranging from algebraic geometry, to representation theory, to combinatorics, and to number theory. We speculate on whether there is an inherent hierarchy of "difficulty" in mathematics reflected by data. At the heart of the programme is the question how does AI help with mathematical discovery.
Link:
Workshop: