AI at the Edge: Architecture, Benefits and Tradeoffs

There is a shift taking place in the physical architecture in which AI software runs. AI is moving toward the edge.

Device-centric edge computing has become common for use cases such as medical devices, supply chain apparatus, shop-floor manufacturing and the Internet of Things (IoT). However, until very recently, the software that runs those devices used traditional, structured programming. Decision-making is constrained by static logic executed within conditional statements, particular to the given programming language.

Embedding AI in an…