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Mobile Edge Artificial Intelligence : Opportunities And Challenges / Yuanming Shi

By: Contributor(s): Material type: TextTextPublisher: London, United Kingdom ; San Diego, CA : Academic Press, an imprint of Elsevier, [2022]Description: xvii, 187 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780128238172
  • 0128238178
Subject(s): DDC classification:
  • 006.3 SHI 23
LOC classification:
  • QA76.59 .S54 2022
Summary: 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.
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Item type Current library Collection Call number Status Notes Date due Barcode
Reference Book VIT-AP Reference Reference 006.3 SHI (Browse shelf(Opens below)) Not For Loan CSE 024443

It include index pages

Includes bibliographical references and index.

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.

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