Building ML framework with Rust and Category Theory
Summary
The article describes Category Theory for Tiny ML in Rust, a working-draft study that maps category-theoretic concepts to Rust types and ML pipeline steps, advocating a structured, auditable approach to tiny ML. It invites public feedback via a GitHub repository and a public workshop, highlighting Rust-based implementations as a path toward reliable production AI.