Gyrfalcon and a cluster of new AI chips for the edge - Stacey on IoT Internet of Things news and analysis

There is a gold rush under way, this time in chips trying to optimize for artificial intelligence. Google and Apple have both built custom silicon for the job, while an entire range of startups are trying to serve up a more efficient way of running AI workloads in both the cloud and at the edge. The challenge is that most of the chips trying to run or train AI models are doing a lot of math. When it comes to edge devices, whether it is a cell phone or a sensor, power is in short supply. So the last thing that consumers need is plethora of new home gadgets that require the power draw of a gaming rig.