Microchip unveils new set of full‑stack solutions designed to simplify and accelerate the development of edge AI.

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Carl is the CTO and co-founder at Avassa and obsesses over an edge orchestrator that application- and infrastructure teams alike can love. The convergence of edge computing and IoT is rapidly becoming ...

Picture this scenario: At 2:37 a.m. during a storm, lightning strikes a distribution feeder line in rural Wisconsin. A massive power surge races through the distribution network. Instead of triggering ...