17–28 Jun 2019
CERN
Europe/Zurich timezone

Machine-Learning Algebraic & Geometric Structures: Implications to String Pheno

21 Jun 2019, 10:00
45m
4/3-006 - TH Conference Room (CERN)

4/3-006 - TH Conference Room

CERN

110
Show room on map

Speaker

Yang-Hui He (City University London)

Description

We report some recent experiments in machine-learning applied to various mathematical problems such as computing Hodge numbers, recognizing elliptic fibrations, distinguishing finite simple groups, etc., many of which have direct consequences in string phenomenology. The mysterious success of the ML, often bypassing traditional expensive algorithms, potentially suggests hithertofore unseen structures.

Presentation materials