Contents:
Preface, Mee Seong Im and Tony Shaska
Artificial neural networks on graded vector spaces
T. Shaska
Computational Complexity of Deep Neural Networks
Mee Seong Im and Venkat Dasari
Calabi-Yau metrics through Grassmanian learning and Donaldson's algorithm
Carl Enrik Ek, Oisin Kim, Challenger Mishra
Neural network design options for RNG's verification
Jose Luyis Crespo, Jaime Gutierrez, Angel Valle
Diagrammatics of Information
Mee Seong Im, Clement Kam, Caden Pici
Geometric Reduction of Binary Forms
Ilias Kostireas and Tony Shaska
Geometric Generality of Transformer-Based Gröbner Basis Computation,
Yuta Kambe, Yota Maeda, Tristan Vaccon
Semi-invariants of filtered quiver representations with at most two pathways
Mee Seong Im
Polynomials, Galois groups, and Database-Driven Arithmetic
Elira Curri and Tony Shaska