IEEE Access Special Section Editorial: Edge Computing and Networking for Ubiquitous AI

With its rapid development recently, edge computing with processing, storage, and networking capabilities has become an important solution to break through the bottleneck of emerging technology development by virtue of its advantages in reducing data transmission, decreasing service latency, and easing cloud computing pressure. Among several application scenarios such as network optimization, intelligent manufacturing, and real-time video analytics, edge computing can work with artificial intelligence (AI) synergistically. Therefore, many researchers are investigating edge computing with AI from two perspectives. One is that the emergence of AI solves the optimization problem of edge computing. For example, when network devices need to process some complex and fuzzy information, the powerful learning and reasoning ability of AI can help to extract valuable information from the massive data and realize intelligent management. Another is how edge computing supports AI in a networking environment. For example, AI training and inference can be efficiently enabled by a multitude of computing resources from edge computing. Therefore, edge computing and AI are mutually beneficial in networking.