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245 10 a| Artificial intelligence and mathematics researchh| [electronic resource] :b| 2024 Spring Central Sectional Meeting, University of Wisconsin-Milwaukee, Milwaukee, WI, April 20-21, 2024 (Saturday - Sunday) : Special Session : Artificial Intelligence in Mathematics /c| Mee Seong Im, Tony Shaska, editors.;

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490 0 a| Contemporary mathematics,x| 0271-4132 ;v| 835;

505 0 a| 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.;

506 a| Available only to authorized users.;

520 a| "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";

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650 7 a| Algebraic geometry -- Computational aspects in algebraic geometry -- Effectivity, complexity2| msc;

650 7 a| Linear and multilinear algebra; matrix theory -- Basic linear algebra -- Vector and tensor algebra, theory of invariants2| msc;

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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.

Author/creator	American Mathematical Society Sectional Meeting Special Session on Artificial Intelligence in Mathematics
Other author	Im, Mee Seong, 1980
Other author	Shaska, Tony, 1967
Format	Electronic
Publication Info	Providence, Rhode Island : American Mathematical Society, [2026]
Description	pages cm
Supplemental Content	Full text available from eBooks on EBSCOhost
Subjects	Mathematics--Research. --Data processing. Artificial intelligence--Mathematics.

Series	Contemporary mathematics, 0271-4132 ; 835
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.
Abstract	"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"
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2025054015
ISBN	9781470476861 paperback
ISBN	ebook

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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.

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