This new book presents some exciting advances in AI applications, highlighting trends and advances in edge, cloud, and mobile computing and how they can be integrated with advanced AI for enhancing services, privacy, and security. It explores algorithms, architectures, reliable AI-powered IoTs, and other aspects in networking and applications in diverse frontier areas. These state-of-the-art technologies have a comparative advantage in terms of very low latency, fast response time, low bandwidth cost, and improved resilience. First focusing on advanced cloud AI services, the authors look at a power trading framework of cloud-edge computing in an artificial intelligence bazaar, the use of anomaly detection in artificial intelligence in a cloud-fuzzy environment, holistic resource management based on AI and sustainable cloud computing, the application of AI for enhanced privacy and security in smart environments, AI in wireless sensor networks, and more. The volume also presents advances in advanced edge AI services, along with problems that may be confronted during the application and execution of computing services. The role of machine learning in conjunction with artificial intelligence and edge computing. applications is explored as well. Other chapters address AI applications together with cloud, edge, and mobile computing that serve the areas of e-commerce and commercial banking, while making use of AI for sustainable human resource management.

Chapters also explore how these technologies can advance the achievement of sustainable development goals by integrating natural resource management and AI. Shedding light on how we can use the edge, cloud, and mobile computing technologies in extensive and widespread application areas by leveraging the promising features of advances in AI, this new volume, Advances in AI for Cloud, Edge, and Mobile Computing Applications , will provide valuable insight for academicians and researchers who want to be at the forefront of the fast-emerging world AI technology.