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Proposes a modular reference architecture for embedded AI agent systems at the edge, decoupling on-device and cloud-augmented agents with a governance layer for safety and policy enforcement.
This paper proposes the Two-Valued Symmetric Circulant Matrix (TVSCM), a very sparse architecture that uses only two weights per layer to achieve over 80x parameter reduction on MNIST and MIT-BIH arrhythmia datasets while maintaining comparable accuracy, making it ideal for edge and tiny-ML platforms.
This article announces a working draft book 'Category Theory for Tiny ML in Rust' and a public workshop introducing a tiny ML pipeline using Rust and category theory, aimed at making machine learning structure explicit through typed transformations.