Recent Challenges on Edge AI with Its Application: A Brief Introduction

Abstract

AbstractEdge AI refers to the deployment of AI software on hardware throughout the real world. Recently industry 4.0 adopted the cases on plant automation, factory robot, edge computing and usage of application in AI domain. With higher bandwidth and lower latency, edge computing promises to decentralize cloud applications. This chapter provides a thorough analysis of edge computing-related AI techniques and tools, sometimes known as edge AI. First section gives the introduction on edge AI and 5G technology has been discussed in second section. Rest of section elaborated the importance and usage of edge AI with complete roadmap. In our vision, Edge AI will improve network and radio access, provide adaption for data-driven applications, and enable the development; distributed AI/ML pipeline deployment, optimization, and implementation predetermined experience quality, faith, safety, and privacy criteria. The Edge AI community, which spans several ICT, engineering, and perform computer science subfields, researches unique machine learning techniques for the edge computing environment. The objective is to offer a hypothetical roadmap that may unite important players and enablers in order to the development of edge AI. The outcomes of this chapter is to explain the usage of edge AI in industry 5.0 and will gives the better idea to development of new applications.KeywordsEdge AIXAIApplication of EDGE AIRoadmap