Artificial Intelligence and Mathematics Research

Mee Seong Im, John Hopkins University, Baltimore, MD, and Tony Shaska, Oakland University, Rochester, MI

• ArticlesTony Shaska, Artificial neural networks on graded vector spacesMee Seong Im and Venkat R. Dasari, Computational complexity reduction of deep neural networksCarl Henrik Ek, Oisin Kim and Challenger Mishra, Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithmJose Luis Crespo, Jaime Gutierrez and Angel Valle, Neural network design options for RNG's verificationMee Seong Im, Clement Kam and Caden Pici, Diagrammatics of informationIlias Kotsireas and Tony Shaska, A neurosymbolic framework for geometric reduction of binary formsYuta Kambe, Yota Maeda and Tristan Vaccon, Geometric generality of Transformer-based Grobner basis computationMee Seong Im, Semi-invariants of filtered quiver representations with at most two pathwaysElira Curri and Tony Shaska, Polynomials, Galois groups, and database-driven arithmetic