Machine Assistance for Algebra 

University of Wisconsin-Madison

Machine Assistance for Algebra (MAFA) at UW Madison  is a space to demonstrate and discuss machine assistance in the broadest sense for algebra. This means hosting tutorials on software capabilities with a view towards solving polynomial systems, calculating Grobner basis, and computing  invariants. This is in addition to using modern machine learning advances for algebraic geometry, commutative algebra and topology.  The audience is encouraged to be actively engaged by bringing a computer to follow along and to immediately do exercises. 

These events are held on an as needed basis and targeted towards graduate students. 

Who: There is no official email list or need to RSVP. Just show up at the scheduled time or a few minutes early for social time. Advertisements are usually made on the Applied Algebra mailing list. 

Questions? Contact the organizer: 

Jose Israel Rodriguez (Jose@math.wisc.edu)

Events:

Github Repository