AMS Meeting #1195, University of Wisconsin-Milwaukee, Milwaukee, WI, April 20-21, 2024.
Organizers
Alessandro Arsie, University of Toledo
Elira Curri, Oakland University
Mee Seong Im, US Naval Academy
Tony Shaska , Oakland University
Advances in artificial intelligence, machine learning, and data analysis in the last decade have made it possible to develop more sophisticated AI systems which are being used in a broad range of applications. Â
We focus on such applications to mathematics, especially on papers and talks which are based on concrete, explicit computational results through implementation and use of AI packages and methods.Â
Some of topics suggested, but not limited to:
Machine LearningÂ
Machine Learning and automorphism groups of curves
Using ML for superelliptic families of curves of high genusÂ
Arithmetic in the moduli space: an ML approach
Data analysis of Calabi-Yau hypersurfaces via weighted heights
Machine learning and isogenies of Abelian varieties of dimension 2 and 3
Machine learning and toric varieties
Machine learning and cryptography
Support vector machines
Deep Learning
Convolutional Neural Netwrks
Connections between neural networs and invariant theory
Geometric Deep Learning
Automatic Theorem Proving
Formal proofs and AI
Cybersecurity and Cryptography
Homomorphic encryption and graded ringsÂ
Machine Learning and Cybersecurity
others
February 20, 2024
Using AI in Mathematics is a new field and many mathematicians are just venturing in it. Reasearch groups are relatively new and new researchers are getting involved every day. In case we have missed someone, please fill the following form to get in touch with us and to tell us about your intentions on participating or speaking in our session. We will continue to contact people until the deadline of February 20.Â
