Physics - Mathematical and Theoretical Physics Seminar

Back to Listing

Mathematical and Theoretical Physics Seminar: "Experiments with Machine Learning in String Geometry"

Event Type
Seminar/Symposium
Sponsor
The Physics Department
Location
464 Loomis
Date
Sep 12, 2019   1:00 pm  
Speaker
Vishnu Jejjala, University of Witwatersrand
Views
26

Identifying patterns in data enables us to formulate questions that can lead to exact results. Since many of the patterns are subtle, machine learning has emerged as a useful tool in discovering these relationships. We show that topological features of Calabi–Yau geometries are machine learnable. We indicate the broad applicability of our methods to existing large data sets by finding relations between knot invariants, in particular, the hyperbolic volume of the knot complement and the Jones polynomial.

link for robots only