While machine-learning (ML) development activity most visibly focuses on high-power solutions in the cloud or medium-powered solutions at the edge, there is another collection of activity aimed at implementing machine learning on severely resource-constrained systems.
Known as TinyML, it’s both a concept and an organization — and it has acquired significant momentum over the last year or...
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