Applications of Generative AI

This book provides a comprehensive introduction to Generative AI in terms of basic concepts, core technologies, technical architecture, and application scenarios. Readers gain a deeper understanding of the emerging discipline of Generative AI. This book covers the latest cutting-edge application technologies of Generative AI in various fields. It provides relevant practitioners with ideas to solve problems and deepen their understanding of Generative AI. At the same time, it guides and helps Generative AI and related industries to deepen their understanding of the industry and enhance professional knowledge and skills. Starting from reality, this book lists many cases and analyzes theories in a popular image.

The book is useful for AI researchers and specifically for those working with the applications at hand (primarily medical imaging and construction/twinning industry). It covers a variety of cutting-edge technologies in Generative AI, which provides researchers with new research ideas.

Zhihan Lv is Lecturer, Engineer and Researcher in Virtual Reality, Digital Twins and Metaverse, major in Mathematics and Computer Applied Technology. His research application fields widely range from everyday life to traditional research fields (i.e., geography and transportation, biology and chemistry, medicine and rehabilitation, industry and entertainment).

He has contributed 300 papers including more than 70 papers on IEEE/ACM Transactions. He is Editor-in-Chief of Internet of Things and Cyber-Physical Systems (KeAi) and Associate Editor of 22 journals including ACM Transactions on Multimedia Computing, Communications, and Applications, IEEE Transactions on Intelligent Transportation System, IEEE Transactions on Network and Service Management, IEEE Transaction on Computational Social Systems, IEEE Technology Policy and Ethics Newsletter, Early Career Advisory Board member of IEEE/CAA Journal of Automatica Sinica.