An MCU approach for AI/ML inferencing in battery-operated designs

An MCU approach for AI/ML inferencing in battery-operated designs

In an AI-enabled electronic cat flap, ML could be trained to distinguish one cat from another to open the door only for the cat allowed to enter. (Image: Alif Semiconductor)

While machine learning can be implemented on a microcontroller, AI tasks might not be carried out fast enough and would consume too much power in executing AI. In this article, we describe a new MCU architecture using a two-tier inferencing system to deliver high-level AI/ML on battery power.

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