Artificial intelligence and mathematics research : 2024 Spring Central Sectional Meeting, University of Wisconsin-Milwaukee, Milwaukee, WI, April 20-21, 2024 (Saturday - Sunday) : Special Session : Artificial Intelligence in Mathematics / Mee Seong Im, Tony Shaska, editors.

Format:

Book

Conference/Event

Contributor:

Im, Mee Seong, 1980- editor.

Shaska, Tony, 1967- editor.

Conference Name:

American Mathematical Society Sectional Meeting Special Session on Artificial Intelligence in Mathematics (2024 : Milwaukee, Wis.) http://id.loc.gov/rwo/agents/n2026001010, Author.

Series:

Contemporary mathematics (American Mathematical Society) ; 0271-4132 835.

Contemporary mathematics, 0271-4132 ; 835

Language:

English

Subjects (All):

Mathematics--Research--Data processing.

Mathematics.

Artificial intelligence--Mathematics.

Artificial intelligence.

Physical Description:

x, 294 pages : charts ; 26 cm

Place of Publication:

Providence, Rhode Island : American Mathematical Society, [2026]

Summary:

"Advances in artificial intelligence, machine learning, and data analysis in the last decade have made it possible to develop more sophisticated artificial intelligence (AI) systems which are being used in a broad range of applications. However, the mathematical background for much of these new developments does not exist. As part of our efforts to get the mathematical research community more involved in Machine Learning and Artificial Intelligence in general, we organized a special session in the American Mathematical Society (AMS) Sectional Meeting in Milwaukee, titled "Artificial Intelligence and Mathematics"

Contents:

Artificial neural networks on graded vector spaces / Tony Shaska

Computational complexity reduction of deep neural networks / Mee Seong Im and Venkat R. Dasari

Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithm / Carl Henrik Ek, Oisin Kim, and Challenger Mishra

Neural network design options for RNG's verification / Jose Luis Crespo, Jaime Gutierrez, and Angel Valle

Diagrammatics of information / Mee Seong Im, Clement Kam, and Caden Pici

A neurosymbolic framework for geometric reduction of binary forms / Ilias Kotsireas and Tony Shaska

Geometric generality of transformer-based Grobner basis computation / Yuta Kambe, Yota Maeda, and Tristan Vaccon

Semi-invariants of filtered quiver representations with at most two pathways / Mee Seong Im

Polynomials, Galois Groups, and Database-Driven Arithmetic / Elira Shaska and Tony Shaska.

ISBN:

9781470476861

147047686X

OCLC:

1568766784