AI vendors are rolling out a steady stream of edge processing platforms spanning everything from multicore systems-on-chips to analog approaches that seek to imbue sensors with greater intelligence while reducing power consumption in always-on devices.

Along with lower latency, smart edge deployments require low-power AI processing via a variety of hardware and optimized software frameworks. A pair of approaches emerged this week, one silicon-based that leverages machine learning compilers, the other an analog, mixed signal scheme that embeds intelligence within internet of things (IoT) and other sensors.

For full article