AIMS 2025: Abstracts

1. Gitta Kutyniok, Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence
   Reliable and Sustainable AI: From Mathematical Foundations to Next Generation AI Computing

2. Yang-Hui He, London Institute for Mathematical Sciences
   A Triumvirate of AI-assisted Mathematics

3. Vladimir Dragović, Department of Mathematical Sciences & Texas AI Research Institute, The University of Texas at Dallas
   Bridging Statistics with Geometry and Mechanics

4. Fabian Ruehle, Northeastern University
   Rigorous results from Machine Learning

5. Vladan B. Devedžić, University of Belgrade
   Bridge over troubled water: Large Language Models in practice

6. Tony Shaska, Oakland University
   Beyond Prediction: Crafting AI That Thinks with Graded Intelligence, 

7. Alexander Schmitt (Freie Universität Berlin)
   Moduli spaces attached to neural networks

8. Ilias Kotsireas
   Challenging Design Theory problems

9. Lisa Carbone, Rutgers University
   Advancing mathematics research with generative AI

10. Nadia El Mrabet
    Optimising arithmetic for cryptography

11. Vasyl Ustimenko (Royal Holloway University of London)
    On random walks on temporal analogue of geometries of Kac-Moody groups and Post Quantum Cryptography

12. Chia Zargeh  (Modern College of Business and Science)
    Groebner bases and label codes of lattices

13. Andrew Obus, Baruch College
    Mac Lane Valuations in Algebraic Geometry

14. Sajad Salami,  Rio de Janeiro State University
    Q-rational points on loci of genus 2 curves with (n,n)-split Jacobians

15. Sergey Khashin, Ivanovo University, Russia
    Zero and first order minimization methods in neural networks

16. Sadok Kallel  (American University of Sharjah)
    On the topology of piecewise geodesic loops

17. Jurgen Mezinaj, Oakland University
    From Polynomials to Databases: Arithmetic Structures in Galois Theory