There is a growing interest in expanding the scope of edge ML to microcontroller-class devices. And, this is where TinyML comes into the picture. As the name suggests, TinyML is intended for developing low power consuming devices that can run machine learning models. Tiny machine learning applications include hardware (dedicated integrated circuits), algorithms and software […]

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