Intelligent Edge: The Intersection of Artificial Intelligence and Digital Communication?A Survey

The rapid resurgence of Artificial Intelligence (AI) has revolutionized nearly every field of science and technology. The ubiquity of smartphones and Internet of Things (IoT) platforms has led to an expectation that most smart applications will run on the edge of cellular networks. This has increased the focus on the introduction of the digital edge to support AI-friendly applications on specific cutting-edge platforms. Thus, a new research field named ?edge computing? has been developed, covering two areas, and revolutionizing them: wireless networking and computing. The restricted computing capacity and minimal data for the unit are resolved by an essential topic of advanced learning. This is accomplished by the usage of the Mobile Edge Computing (MEC) interface and the utilization of the vast volume of data spread over a wide range of edge computers. Distributed knowledge processing and connectivity between the edge server and devices are two significant, connected elements of these networks, and their convergence presents a range of new study challenges. This article introduces a new set of ideas known as learning-driven wireless networking in advanced computing and provides examples of the feasibility of these concepts and specific research tools.