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BEGIN:VEVENT
UID:iQpWNxJ6VzQsdLOg1cgyT
SUMMARY:Category Theory\, Combinatorics\, and Machine Learning
DTSTAMP:20260401T014400Z
DTSTART;VALUE=DATE:20250915
DTEND;VALUE=DATE:20250919
DESCRIPTION:Can machines prove theorems? Can they have mathematical ideas? 
	On one hand\, category theory offers a formalism for axiomatising ideas fr
	om machine learning. On the other hand\, mathematicians are excited about 
	the prospect of utilising machine learning techniques to spot new patterns
	 in vast swathes of combinatorial data and hence formulate new conjectures
	.\n\nThe purpose of this workshop is to bring together experts from across
	 algebraic combinatorics\, category theory\, and machine learning in order
	 to make headway on topics at the intersection of these fields.
URL:https://icerm.brown.edu/program/semester_program_workshop/sp-f25-w1
LOCATION:Institute for Computational and Experimental Research in Mathemati
	cs\, Brown University 
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