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    Artificial intelligence and mathematics research : AMS Special Session Artificial Intelligence in Mathematics, April 20-21, 2024, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin / Mee Seong Im, Tony Shaska, editors
    HerausgeberIm, Mee Seong ; Shaska, Tony
    Name der KonferenzAMS Special Session Artificial Intelligence in Mathematics 2024 Milwaukee, Wis.
    ErschienenProvidence, Rhode Island : American Mathematical Society, [2026], © 2026
    Umfangx, 294 Seiten : Illustrationen, Diagramme
    Serie
    Contemporary mathematics ; 835
    SchlagwörterMathematics / Research / Data processing / Artificial intelligence / Mathematics / Linear and multilinear algebra; matrix theory -- Basic linear algebra -- Vector spaces, linear dependence, rank / Statistics -- Inference from stochastic processes -- Neural nets and related approaches / Algebraic geometry -- Surfaces and higher-dimensional varieties -- Calabi-Yau manifolds / Several complex variables and analytic spaces -- Complex manifolds -- Calabi-Yau theory / Information and communication, circuits -- Communication, information -- Measures of information, entropy / Number theory -- Forms and linear algebraic groups -- General binary quadratic forms / Algebraic geometry -- Computational aspects in algebraic geometry -- Effectivity, complexity / Linear and multilinear algebra; matrix theory -- Basic linear algebra -- Vector and tensor algebra, theory of invariants / Algebraic geometry -- Arithmetic problems. Diophantine geometry -- Universal profinite groups (relationship to moduli spaces, projective and moduli towers, Galois theory) / Angewandte Mathematik / Applied mathematics / Artificial intelligence / Künstliche Intelligenz / MATHEMATICS / Applied
    ISBN9781470476861
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    Zusammenfassung
    This volume contains the proceedings of the 2024 Spring Central Sectional Meeting, held at the University of Wisconsin-Milwaukee, Milwaukee, WI, on April 20-21, 2024. Our motivation for this volume is to fill the void of mathematical literature in the current developments of artificial intelligence, machine learning, deep learning, geometric deep learning, geometric information theory, etc. While there are some excellent mathematical ideas in such developments, the literature is flooded by papers and books written by computer scientists and engineers that lightly touch upon these subjects, thereby missing deep mathematical understanding. This makes it difficult for anyone who wants to enter such areas of research. What is missing in the literature is exactly the theoretical mathematical background in artificial intelligence and machine learning
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