Networked Artificial Intelligence
eBook - ePub

Networked Artificial Intelligence

AI-Enabled 5G Networking

  1. 240 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Networked Artificial Intelligence

AI-Enabled 5G Networking

About this book

The integration of fifth generation (5G) wireless technologies with distributed artificial intelligence (AI) is transforming network operations. AI is increasingly embedded in all network elements, from cloud and edge to terminal devices, enabling AI to function as a networking system. This convergence facilitates AI-based applications across the global network, with notable successes in various domains such as computer vision, natural language processing, and healthcare. Networked Artificial Intelligence: AI-Enabled 5G Networking a comprehensive framework for the deep integration of computing and communications, optimizing networks and applications as a unified system using AI.

The book covers topics ranging from networked AI fundamentals to AI-enabled 5G networks, including agent modeling, machine learning (ML) algorithms, and network protocol architectures. It discusses how network service providers can leverage AI and ML techniques to customize network baselines, reduce noise, and accurately identify issues. It also looks at AI-driven networks that enable self-correction for maximum uptime and prescriptive actions for issue resolution, as well as troubleshooting by capturing and storing data before network events.

The book presents a comprehensive approach to AI-enabled networking that offers unprecedented opportunities for efficiency, reliability, and innovation in telecommunications. It works through the approach's five steps of connection, communication, collaboration, curation, and community. These steps enhance network effects, empowering operators with insights for trusted automation, cost reduction, and optimal user experiences. The book also discusses AI and ML capabilities that enable networks to continuously learn, self-optimize, and predict and rectify service degradations proactively, even with full automation.

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Yes, you can access Networked Artificial Intelligence by Radhika Ranjan Roy in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface
  8. Author
  9. Chapter 1 Networked Artificial Intelligence
  10. Chapter 2 Artificial Intelligent Agent
  11. Chapter 3 Agent Function
  12. Chapter 4 Agent Modeling
  13. Chapter 5 Multi-Agent System
  14. Chapter 6 Protocol Layer Architecture
  15. Chapter 7 Artificial Intelligence Performance Analysis
  16. Chapter 8 Unsupervised Machine Learning
  17. Chapter 9 Supervised Machine Learning
  18. Chapter 10 Deep Learning
  19. Chapter 11 Overfitting and Underfitting
  20. Chapter 12 Hybrid Learning
  21. Chapter 13 Reinforcement Learning
  22. Chapter 14 Artificial Intelligence Application and Network Protocol Architecture Model
  23. Chapter 15 AI-Enabled Network
  24. Chapter 16 AI-Enabled End-to-End Network
  25. Chapter 17 AI-Enabled Peer-to-Peer Network
  26. Chapter 18 Artificial Intelligence-Enabled 5G Network
  27. Index