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Talk
Title	Machine-Learning Algebraic & Geometric Structures: Implications to String Pheno
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Author(s)	He, Yang-Hui (speaker) (City University London)
Corporate author(s)	CERN. Geneva
Imprint	2019-06-21. - 0:47:35.
Series	(TH institutes) (String Geometry and String Phenomenology Institute)
Lecture note	on 2019-06-21T10:00:00
Subject category	TH institutes
Abstract	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.
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Submitted by	elena.gianolio@cern.ch