Edge Intelligence in the Making Organization, Deep Learning, and Applications
| With the explosive growth of mobile computing and Internet of Things (IoT) applications, as exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT devices are being connected to the Internet, generating zillions of bytes of data at the network edge. Driven by this trend, there is an urgent need to push the frontiers of artificial intelligence (AI) to the network edge to fully unleash the potential of IoT big data. |
Sen Lin, Arizona State University Zhi Zhou, Sun Yat-sen University Zhaofeng Zhang, Arizona State University Xu Chen, Sun Yat-sen University Junshan Zhang, Arizona State University To facilitate the dissemination of the recent advances in edge intelligence in both academia and industry, this book conducts a comprehensive and detailed survey of the recent research efforts and also showcases the authors’ own research progress on edge intelligence. Specifically, the book first reviews the background and present motivation for AI running at the network edge. Next, it provides an overview of the overarching architectures, frameworks, and emerging key technologies for deep learning models toward training/inference at the network edge. To illustrate the research problems for edge intelligence, the book also showcases four of the authors’ own research projects on edge intelligence, ranging from rigorous theoretical analysis to studies basedon realistic implementation. Finally, it discusses the applications, marketplace, and future research opportunities of edge intelligence. READ MORE AND BUY TODAY Check if you have access via Synthesis Digital Library |