University of Cambridge > > Isaac Newton Institute Seminar Series > How to Apply Machine Learning to Number Theory

How to Apply Machine Learning to Number Theory

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact nobody.

BLHW01 - Number theory, machine learning and quantum black holes

In this talk, we will show how one can use machine learning to classify number theoretic objects according to their standard invariants. This is a joint work with Malik Amir, Yang-Hui He, Thomas Oliver and Eldar Sultanow.

This talk is part of the Isaac Newton Institute Seminar Series series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity