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A01=Dhaval N. Shah
A01=Manoj Saxena
A01=Naresh Kumar Sehgal
Age Group_Uncategorized
Age Group_Uncategorized
Author_Dhaval N. Shah
Author_Manoj Saxena
Author_Naresh Kumar Sehgal
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Category1=Non-Fiction
Category=GPFC
Category=TJF
Category=UKM
Category=UT
COP=Switzerland
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

AI on the Edge with Security: Foundations and Practices

This book provides readers with an overview of the next generation of Cloud computing with AI, evolving to minimize latency and address privacy/security concerns of many customers. This book will highlight the associated problems and propose new solutions for performing AI and ML at the edge of computing networks.

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Current price €110.69
Original price €122.99
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A01=Dhaval N. ShahA01=Manoj SaxenaA01=Naresh Kumar SehgalAge Group_UncategorizedAuthor_Dhaval N. ShahAuthor_Manoj SaxenaAuthor_Naresh Kumar Sehgalautomatic-updateCategory1=Non-FictionCategory=GPFCCategory=TJFCategory=UKMCategory=UTCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 21 Jan 2025

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 21 Jan 2025
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031782718

About Dhaval N. ShahManoj SaxenaNaresh Kumar Sehgal

Naresh Kumar Sehgal is a CTO at the Deeply Human AI. Before that he worked at NovaSignal for 3 years and at Intel for 32 years in various Engineering and Management roles. Naresh has earned his B.E. from Punjab Engineering College M.S. and Ph.D. from Syracuse University. He taught Cloud Computing at Santa Clara University where he also earned an MBA. Manoj Saxena is currently working as a Chief Researcher at Centre of Excellence for Distributed Artificial Intelligence NetEdge. He is a Gold Medallist in Electrical Engineering from Delhi College of Engineering with a Masters in computer science from Indian Institute of Science Bangalore and a Ph.D. in Computer Science with research in the area of Distributed Artificial Intelligence from IIT Delhi. With over 30 years of experience in Information Technology his prime focus is on Artificial Intelligence Machine Learning Knowledge Management Distributed Systems Internet of Things and Cloud Computing. Dhaval N. Shah is an Entrepreneurial Software Professional working in the AI space. Since over two decades he is based in California USA where he came to study Computer Science at Stanford University after his B. Tech. in Computer Science and Engineering at IIT (BHU) Varanasi (was awarded the Outstanding Student of the Institute for the entire IIT Graduating Batch). He previously worked at Cisco Systems and Oracle Corporation and has been part of several startups including co-founding MooWee (Internet video space) that was acquired. He was a Fellow at Syracuse University and holds a MS from University of Wisconsin-Madison Certificate in Software Systems from Stanford University and a MBA from University of California Berkeley.

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