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.
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.
Pramod Chandra (PCP) Bhatt started his teaching career in 1965 at IIT Kanpur, and then moved to IIT Delhi in 1969, and retired from IIT Delhi in 1996. Prof Bhatt also worked as a visiting professor at the University of Ottawa, McGill University, Montreal (Canada), Universities of Dortmund, Paderborn and Bochum (Germany), and Kochi University of Technology (Japan). Prof. Bhatt has a M.E. from Calcutta University and a PhD from IIT Kanpur. He has also been a Konrad Zuse Fellow at the University of Dortmund. Naresh K. Sehgal is currently the CTO at Deeply Human AI, Inc. Before that he worked at NovaSignal for 3 years and at Intel for 31 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 a Cloud Computing class at Santa Clara University, where he also earned an MBA. Naresh has 7 patents, co-authored 5 books, published 40 technical papers in various conferences and journals
Inhaltsangabe
Part I. Foundations.- Chapter 1. Edge Computing with AI: Introduction.- Chapter 2. Foundations of Computing at the Edge of Networks.- Chapter 3. Foundations of the Internet of Things (IoT).- Chapter 4. Foundations of Artificial Intelligence.- Chapter 5. Foundations of Information Security.- Chapter 6. Edge Artificial Intelligence .- Part II. Practices.- Chapter 7. Security and Performance at the Edge.- Chapter 8. Intelligent Edge Computing: Design Use Cases.- Chapter 9. Role of Regulatory.- Chapter 10. Future of Edge AI.
Part I. Foundations.- Chapter 1. Edge Computing with AI: Introduction.- Chapter 2. Foundations of Computing at the Edge of Networks.- Chapter 3. Foundations of the Internet of Things (IoT).- Chapter 4. Foundations of Artificial Intelligence.- Chapter 5. Foundations of Information Security.- Chapter 6. Edge Artificial Intelligence .- Part II. Practices.- Chapter 7. Security and Performance at the Edge.- Chapter 8. Intelligent Edge Computing: Design Use Cases.- Chapter 9. Role of Regulatory.- Chapter 10. Future of Edge AI.
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