Shi, Yuanming, <br/><br/>
Mobile Edge Artificial Intelligence :  Opportunities And Challenges / 
Yuanming Shi 
 - London  Academic Press  2022 
 - xvii, 187 pages :  illustrations ;  23 cm 
<br/><br/> It include index pages 
<br/><br/>Includes bibliographical references and index. 
<br/><br/> 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.-- 
<br/><br/><label>ISBN: </label>9780128238172 0128238178 
<br/><br/><label>LCCN: </label>2022276510 
<br/><br/><label>Nat. Bib. No.: </label>GBC1D4702  bnb 
<br/><br/><label>Nat. Bib. Agency Control No.: </label>020297421  Uk 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mobile computing.<br/>Artificial intelligence.<br/>Edge computing.<br/>Informatique mobile.<br/>Intelligence artificielle.<br/>artificial intelligence.<br/>Artificial intelligence.<br/>Edge computing.<br/>Mobile computing.
<br/><br/><label>LC Class. No.: </label>QA76.59  / .S54 2022 
<br/><br/><label>Dewey Class. No.: </label>006.3 SHI