Hardware Podcasts

Taming the Wild Edge

EE Times Current · 17 Sept 2021 · 38m

What this episode covers

Chris Catterton, head of solution engineering at Micro AI (formerly OneTech), explains how their Adam ML technology enables lightweight AI training and inference on resource-constrained microcontrollers at the extreme edge of IoT. He details how this approach solves high data transmission costs by processing data locally and only sending insights to the cloud, using examples from oil rigs and manufacturing lines. Catterton also describes how the same behavioral profiling technology provides endpoint security by detecting anomalies in CPU and memory usage to prevent ransomware attacks and other threats.

Most relevant to

early-stage companies

Topics

Mentioned

Companies
Micro AI, OneTech
Products
Adam ML
Chips
ARM Cortex M4
Also
FreeRTOS, Embedded Linux

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