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SUMMARY:Machine Learning Sasakian and G2 Topology on Contact Calabi-Yau 7-
 manifolds - Edward Hirst (Queen Mary University of London)
DTSTART:20231006T090000Z
DTEND:20231006T100000Z
UID:TALK200845@talks.cam.ac.uk
DESCRIPTION:Calabi-Yau links provide a real 7-dimensional extension of com
 plex Calabi-Yau 3-folds\, with natural Sasakian and G2-structures. In this
  work a large database of Calabi-Yau links are constructed\, and relevant 
 topological invariants computed. Analysis of the invariant distributions s
 uggest new conjectures about Calabi-Yau links\, motivating investigation w
 ith machine learning techniques to predict these invariants\, uncovering n
 ew mathematical structure bypassing expensive Groebner basis computations.
LOCATION:Seminar Room 1\, Newton Institute
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