Engineering Tiny Machine Learning for the Edge

Engineering Tiny Machine Learning for the Edge

The edge is all about putting intelligence closer to the source of input, but these intelligent algorithms must be squeezed into ever tinier form factors.

Information Week has an interesting article on the challenges that face edge computing.

Developers of artificial intelligence (AI) applications must make sure that each new machine learning (ML) model they build is optimized for fast inferencing on one or more target platforms. Increasingly, these target environments are edge devices such as smartphones, smart cameras, drones, and embedded appliances, many of which have severely constrained processing, memory, storage, and other local hardware resources.


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