Edge computing (EC) is designed to provide edge intelligence services near the edge of the network or near the data source. Massive data no longer has to be transmitted to the distant cloud platforms, and it can be solved on the edge side, which is more suitable for the key needs of industry digitalization in agile connection, real-time business, data optimization, application intelligence, security and privacy protection.

As there are massive and heterogeneous data in the edge terminal, it is necessary to integrate the advantageous artificial intelligence (AI) techniques into EC, and put most of the data in the edge closer to the data source for intelligent processing, to improve efficiency and relieve the load pressure of the platform. At the same time, implementing the intelligent tasks directly at the edge terminal can effectively reduce the bandwidth requirement, provide a timely response, and realize protection for data privacy of the edge terminals.

This Special Issue focuses on the fundamental strategies, theories, algorithms, and applications in artificial intelligence edge computing for innovative applications. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

• AI-based placement of edge nodes
• Emerging architecture/framework/models for the collaboration of Internet of Things (IoT) with AI
• Cost-efficient resource management for EC through big data mining
• Service performance optimization in EC platforms
• Advanced artificial intelligence and big data algorithms
• Artificial intelligence and big data security and privacy protection in networks
• Novel applications based on AI for EC in IoT