Neuromorphic Computing for Edge AI

Abstract

The Neuromorphic computing and Edge AI (Artificial intelligence) are two inter related concepts that have left a lasting impression in recent years. As a result of the ability of neuromorphic computing to imitate the capability of the brain for processing information in an energy saving and extremely parallel way. Similarly, in the same way edge AI refers to employing AI algorithms or models straightly on servers or cloud platforms. Accordingly, to achieve this, edge AI and Neuromorphic computing are merged due to the parallelism of neuromorphic computing which goes hand in hand with edge AI applications. As a result, the present SLR concentrates on examining studies highlighting neuromorphic computing for edge AI, dissimilarities in traditional and neuromorphic computing, different chips utilized for neuromorphic computing and application of neuromorphic computing for edge AI.