The convention of IoT devices being lightweight in processing capability is being turned on its head by the rise of neuromorphic computing. The aim is to mimic the plasticity of the human brain in a new generation of chips optimized for data analytics, employing algorithms under the banners of AI and machine learning. This is being driven by several factors, including demand for ultra-low latency edge computing and desire to save network bandwidth by cutting down on data transmission between end IoT devices and the cloud or centralized data centers. It is true that edge computing can be deployed in distributed servers, but this itself imposes an overhead and cost, as well as requiring a lot of local bandwidth in…