Titlebook: Edge Intelligence in the Making; Optimization, Deep L Sen Lin,Zhi Zhou,Junshan Zhang Book 2021 Springer Nature Switzerland AG 2021

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Applications, Marketplaces, and Future Directions of Edge Intelligence,share our view of its applications, marketplaces, and future research directions to conclude this book. Edge intelligence is an emerging interdisciplinary field with many open problems and yet tremendous opportunities, and our study in this monograph touches only the tip of iceberg.

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https://doi.org/10.1007/978-981-99-8857-0 and big data, deep learning [Lecun et al., 2015]—the most dazzling sector of AI—has made substantial breakthroughs in a wide spectrum of fields, ranging from computer vision, speech recognition, and natural language processing to chess playing (e.g., AlphaGo) and robotics [Deng et al., 2014]. Benef

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,China’s Basic Foreign Policy Objectives,cally require high computational power that greatly outweighs the capacity of resource- and energy-constrained IoT devices, it is highly challenging for a single edge node alone to achieve real-time edge intelligence, which points to the need of collaborative learning that is capable of leveraging t

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Lorenzo Riccardi,Giorgio Riccardishare our view of its applications, marketplaces, and future research directions to conclude this book. Edge intelligence is an emerging interdisciplinary field with many open problems and yet tremendous opportunities, and our study in this monograph touches only the tip of iceberg.

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Synthesis Lectures on Learning, Networks, and Algorithmshttp://image.papertrans.cn/e/image/302240.jpg

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Warum nicht in den Osten blicken?,ity edge intelligence service deployment. In this chapter, we discuss the DNN model inference at the edge, including the architectures, key performance indicators, enabling techniques, and existing systems and frameworks.