Relations and Deformations: From Algebraic-Geometric Topological Superstring Theory to Artificial Intelligence

Friday, September 16, 2022 - 15:30 to 16:30

Thackeray Hall 704

Speaker Information
Artan Sheshmani
Harvard University

Abstract or Additional Information

I will discuss about the deep influence of algebraic geometry on addressing questions raised in theoretical physics, mainly by string theorists during the past 50 years. Some of the keywords relevant to this topic are Gromov-Witten theory, Donaldson-Thomas theory, and Vafa-Witten theory. I will briefly mention some of the work that my collaborators and I did on these subjects during the past 12 years, and I will list some important results. After this summary, a big portion of my talk will actually take a different turn and try to rather reflect on how these ideas can all be migrated to mathematical artificial intelligence, and how one could take advantage of these abstract machineries to develop algorithmic architectures which aim at improving performance of computers, say, in running search engines, data classifiers, computational predicting platforms in biomedical and pharmaceutical industries, security and image processing platforms, autonomous vehicles, robotics and perhaps many more applications.

Research Area