Contents:
Preface, Mee Seong Im and Tony Shaska
Artificial neural networks on graded vector spaces
T. ShaskaÂ
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 MishraÂ
Neural network design options for RNG's verificationÂ
Jose Luyis Crespo, Jaime Gutierrez, Angel Valle  Â
Diagrammatics of Information
Mee Seong Im, Clement Kam, Caden Pici Â
Geometric Reduction of Binary Forms
Ilias Kostireas and Tony Shaska Â
Geometric Generality of Transformer-Based Gröbner Basis Computation,
Yuta Kambe, Yota Maeda, Tristan VacconÂ
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 ShaskaÂ