Skip to main content
Hardware Helping Move AI to the Edge
Date
May 2019
Source

While artificial intelligence and machine learning computation is often performed at large scale in datacentres, the latest processing devices are enabling a trend towards embedding AI/ML capability into IoT devices at the edge of the network. NXP showed a module for exactly this purpose at the Microsoft Build developer conference earlier this month. The 30x40mm board combines a handful of sensors with a powerful microcontroller – the i.MX RT1060C, a high performance Cortex-M device which runs at a very fast 600MHz – plus connectivity capability. The NXP module can run machine learning either completely locally, with training and inference both taking place on its MCU, or it can connect to Microsoft Azure and send all data into the cloud for training, inference, or both..