Dec 15 – 18, 2020
Online (Zoom)
Asia/Tokyo timezone

Universes as Bigdata: from Geometry, to Physics, to Machine-Learning

Dec 17, 2020, 9:00 AM
Online (Zoom)

Online (Zoom)

The necessary information (links, IDs and passwords) will be sent to the participants by E-mail before the workshop starts.


Prof. Yang-Hui He (Merton Coll., U. of Oxford)


We briefly overview how historically string theory led theoretical physics first to algebraic/differential geometry, and then to computational geometry, and now to data science.
Using the Calabi-Yau landscape - accumulated by the collaboration of physicists, mathematicians and computer scientists over the last 4 decades - as a starting-point and concrete playground, we then launch to review our recent programme in machine-learning mathematical structures and address the tantalizing question of how AI helps doing mathematics, ranging from geometry, to representation theory, to combinatorics, to number theory.

Presentation materials