Concept: Deep-Learning

Categorical Deep Learning and Universal Numbers

A Confession and a Vision A personal note from the founder of SpeakEZ Technolgies, Houston Haynes I must admit something upfront: when I began design of the Fidelity framework in 2020, I was driven by practical engineering frustrations, particularly with AI development. The limitations of a managed runtime, the endless battle with numeric precision, machine learning framework quirks, constant bug chasing; these weren’t just inconveniences, they felt like fundamental architectural flaws.