Talk page

Title:
String Data and Machine Learning

Speaker:
Andre Lukas

Abstract:
The talk will discuss two applications of machine learning techniques to problems which arise in the context of string model building. In the first part I will show how machine learning can help understand line bundle cohomology of complex manifolds. In the second part, I apply machine learning to a data set of string standard models.

Link:
http://scgp.stonybrook.edu/video_portal/video.php?id=4365

Workshop:
Simons- Workshop: strings, geometry, and data science