Machine Learning in Discrete Mathematics
Master Seminar on Machine Learning in Discrete Math research.
Instructors: Felix Joos and Petra Schwer
Preliminary meeting takes place on Thursday April 16th at 1pm in SR 1.
Content of the seminar:
In this hands-on seminar, we will
- explore current research findings on the application of machine learning methods in pure mathematics and theoretical computer science.
- explore through practical exercises how machine learning and AI can support mathematical research.
- discuss whether and how the use of AI will change mathematical research.
Further details about the seminar can be found in the Moodle course. Please register there.
Click here for a preliminary schedule and reading list for the seminar.
Useful links to videos and recorded talks:
- Akshay Venkatesh (Re)imagining math in a world of reasoning machines
- Akshay Venkatesh What do we tell our students about AI?
- Michael Douglas, How will we do mathematics in 2030?
- Geordie Williamson Can AI help us to discover intreesting mathematics?
- Joel Gibson, Georg Gottwald, Geordie Williamson Lecture Series -- Machine Learning for the working mathematician
- Terence Tao Machine assistance and the future of research mathematics IPAM at UCLA
- Minas Karamanis The machines are fine. I'm worried about us.
- Tensor flow playground https://playground.tensorflow.org
Last update on Jul 14, 2026 at 14:11 UTC
