Artificial Intelligence and Mathematical Research

Editors: Mee Seong Im, Tony Shaska

Contents:

1. Preface
   Mee Seong Im and Tony Shaska

2. Artificial neural networks on graded vector spaces
   T. Shaska  (55)

3. Computational Complexity of Deep Neural Networks
   Mee Seong Im and Venkat Dasari (15)

4. Calabi-Yau  metrics  through Grassmanian learning and Donaldson's algorithm,  
   Carl Enrik Ek,  Oisin Kim, Challenger Mishra  (39)

5. Neural network design options for RNG's verification, 
   Jose Luyis Crespo,  Jaime Gutierrez,  Angel Valle    (14)    

6. Diagrammatics of Information,
   Mee Seong Im, Clement Kam, Caden Pici   (33)

7. Geometric Reduction of Binary Forms
   Ilias Kostireas and Tony Shaska   (20)

8. Geometric Generality of  Transformer-Based Gröbner Basis Computation,
   Yuta Kambe, Yota Maeda, Tristan Vaccon  (19)

9. Semi-invariants of filtered quiver representations with at most two pathways
   Mee Seong Im (10)

10. Polynomials, Galois groups,  and Database-Driven Arithmetic
    Elira Curri and Tony Shaska  (62)