A smart factory uses TinyML on microcontrollers for equipment failure prediction. What is the main reason TinyML is preferred over cloud-based inference?

Question

Accepted Answer

It enables low-latency, offline, and low-power operation at the edge.

Answer

It supports unlimited computational capacity.

Answer

It provides higher model accuracy due to larger datasets.

Answer

It centralizes data for better management.

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A smart factory uses TinyML on microcontrollers for equipment failure prediction...

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