Mobile Edge artificial intelligence opportunities and challenges / Yuanming Shi, Kai Yang, Zhanpeng Yang, Yong Zhou.

Author/creator Shi, Yuanming
Other author Yang, Kai.
Other author Yang, Zhanpeng.
Other author Zhou, Yong.
Format Electronic
Publication InfoLondon, United Kingdom ; San Diego, CA : Academic Press, an imprint of Elsevier, [2022]
Descriptionxvii, 187 pages : illustrations ; 23 cm
Supplemental ContentFull text available from eBook - Engineering 2021 [EBCE21]
Subjects

Abstract Mobile Edge Artificial Intelligence: Opportunities and Challenges presents recent advances in wireless technologies and nonconvex optimization techniques for designing efficient edge AI systems. The book includes comprehensive coverage on modeling, algorithm design and theoretical analysis. Through typical examples, the powerfulness of this set of systems and algorithms is demonstrated, along with their abilities to make low-latency, reliable and private intelligent decisions at network edge. With the availability of massive datasets, high performance computing platforms, sophisticated algorithms and software toolkits, AI has achieved remarkable success in many application domains. As such, intelligent wireless networks will be designed to leverage advanced wireless communications and mobile computing technologies to support AI-enabled applications at various edge mobile devices with limited communication, computation, hardware and energy resources.-- Source other than the Library of Congress.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2022276510
ISBN9780128238172 (paperback)
ISBN0128238178 (paperback)
ISBN(electronic book)
ISBN(electronic book)
ISBN(electronic book)
ISBN(electronic book)

Availability

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Electronic Resources Access Content Online ✔ Available