Vector Extensions Supercharge AI At The Edge

Arm’s Helium technology embarks in the form of lightweight M-Profile vector extensions (MVE) for the Armv8.1-M architecture. The technology promises to deliver enhanced machine learning and signal processing for the smallest embedded devices.

 

Commenting on the launch, Dr Chris Mitchell, Audio Analytic’s CEO and founder said: “There is considerable demand to run advanced AI, like sound recognition, at the edge. Principally because cloud infrastructure is expensive and edge-based processing offers privacy benefits for end users. Now, thanks to Arm, consumer and IoT devices can deliver supercharged AI at even lower-power and lower-cost. The net result is being able to fit more features onto a device or being able to offer AI on an AA battery.”

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Audio Analytic’s VP of Technology, Dominic Binks added: “With Helium, next generation Cortex-M processors gain the vectorising capabilities of NEON-class processors, along with other new capabilities, which together deliver tangible improvements in performance, and cost, in the microcontroller space.” Learn more from Arm.

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