… that naturally suits for edge computing. Therefore, due to space limitation, in the remaining
of this paper, we will focus on the interaction between deep learning and edge computing. We …

… intelligence. In this article, we divide edge intelligence into AI for edge (intelligence-enabled
edge computing) and AI on edge (artificial intelligence on edge). The former focuses on …

… artificial intelligence (AI) to a great extent. Under this background and trend, the traditional
cloud computing … In response, a new computing model called edge computing (EC) has drawn …

… for resource allocation, computational task scheduling, and … Edge computing extends
cloud analytics to the network edge … of the IoT with AI aided by edge computing and the cloud. …

… of edge computing, explain how it operates and its structure hierarchically with artificial
intelligence … various analyses and opinions regarding edge computing and artificial intelligence. …

… Edge computing (EC) as a new computing paradigm shifts the data processing from the
cloud to the edge nodes (ENs), greatly improving the Quality of Service (QoS) for those IoT …

… computational complexity and more delay in cloud computing, edge computing has
overtaken the … In the meantime, intelligent and accurate resource management by artificial …

… the cognition and intelligence of … edge computing and caching resources to improve system
utility by making full use of AI-based algorithms. Then we formulate a joint edge computing …

… computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which
are essential for the fusion of edge computing … intelligence with the aid of edge computing. …

… challenging for edge computing to deal with these heterogeneous IoT environments. Motivated
by the success of artificial intelligence (AI) in a wide range of fields (eg, computer vision, …