AI

Categorical Deep Learning and the Adjoint Correspondence

August 10, 2025

Forward Gradients, Exact Accumulation, and the Memory Geometry of Training

August 24, 2025

Continuous Learning and the Inference/Training Boundary

September 21, 2025

RDNA and the Unified Memory Desktop

December 14, 2025

Escaping The Steamcar Era of AI

August 16, 2025

Categorical Deep Learning and Universal Numbers

August 10, 2025

A Unified Vision for Ternary Models

June 19, 2025

Discriminated Unions In Post-Transformer AI

June 17, 2025

High Speed Inference

May 18, 2025

Next-Generation Memory Coherence

May 13, 2025

Dimensionally-Constrained CNN to TopOC Transfer Learning

December 15, 2024

Beyond Transformers

November 12, 2024

Fidelity Framework as AI Refinery

January 3, 2023