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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Machine Learning Sasakian and G2 Topology on Contact Calabi-Yau 7-manifolds
Machine Learning Sasakian and G2 Topology on Contact Calabi-Yau 7-manifoldsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact nobody. BLHW01 - Number theory, machine learning and quantum black holes Calabi-Yau links provide a real 7-dimensional extension of complex 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 suggest new conjectures about Calabi-Yau links, motivating investigation with machine learning techniques to predict these invariants, uncovering new mathematical structure bypassing expensive Groebner basis computations. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
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