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Add to Calendar 9/12/2019 1:00 pm 9/12/2019 America/Chicago Mathematical and Theoretical Physics Seminar: "Experiments with Machine Learning in String Geometry" DESCRIPTION:

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.

\n\nSPEAKER:

Vishnu Jejjala, University of Witwatersrand

464 Loomis

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

Speaker Vishnu Jejjala, University of Witwatersrand
Date: 9/12/2019
Time: 1 p.m.
Location:

464 Loomis

Sponsor:

The Physics Department

Event Type: Seminar/Symposium
 

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.

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