Applied Edge AI
eBook - ePub

Applied Edge AI

Concepts, Platforms, and Industry Use Cases

  1. 324 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Applied Edge AI

Concepts, Platforms, and Industry Use Cases

About this book

The strategically sound combination of edge computing and artificial intelligence (AI) results in a series of distinct innovations and disruptions enabling worldwide enterprises to visualize and realize next-generation software products, solutions and services. Businesses, individuals, and innovators are all set to embrace and experience the sophisticated capabilities of Edge AI. With the faster maturity and stability of Edge AI technologies and tools, the world is destined to have a dazzling array of edge-native, people-centric, event-driven, real-time, service-oriented, process-aware, and insights-filled services. Further on, business workloads and IT services will become competent and cognitive with state-of-the-art Edge AI infrastructure modules, AI algorithms and models, enabling frameworks, integrated platforms, accelerators, high-performance processors, etc. The Edge AI paradigm will help enterprises evolve into real-time and intelligent digital organizations.

Applied Edge AI: Concepts, Platforms, and Industry Use Cases focuses on the technologies, processes, systems, and applications that are driving this evolution. It examines the implementation technologies; the products, processes, platforms, patterns, and practices; and use cases. AI-enabled chips are exclusively used in edge devices to accelerate intelligent processing at the edge. This book examines AI toolkits and platforms for facilitating edge intelligence. It also covers chips, algorithms, and tools to implement Edge AI, as well as use cases.

FEATURES



  • The opportunities and benefits of intelligent edge computing



  • Edge architecture and infrastructure



  • AI-enhanced analytics in an edge environment



  • Encryption for securing information



  • An Edge AI system programmed with Tiny Machine learning algorithms for decision making



  • An improved edge paradigm for addressing the big data movement in IoT implementations by integrating AI and caching to the edge



  • Ambient intelligence in healthcare services and in development of consumer electronic systems



  • Smart manufacturing of unmanned aerial vehicles (UAVs)



  • AI, edge computing, and blockchain in systems for environmental protection



  • Case studies presenting the potential of leveraging AI in 5G wireless communication

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Yes, you can access Applied Edge AI by Pethuru Raj, G. Nagarajan, R.I. Minu, Pethuru Raj,G. Nagarajan,R.I. Minu in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Contributors
  7. 1 Edge Computing: Opportunities and Challenges
  8. 2 Demystifying the Edge AI Paradigm
  9. 3 Big Data Driven Edgeā€“Cloud Collaboration for Cloud Manufacturing with SDN Technologies
  10. 4 Artificial Intelligence in 5G and Beyond Networks
  11. 5 An Application-Oriented Study of Security Threats and Countermeasures in Edge Computingā€“Assisted Internet of Things
  12. 6 Edge AI for Industrial IoT Applications
  13. 7 Edge AI: From the Perspective of Predictive Maintenance
  14. 8 Unlocking the Potential of (AI-Powered) Blockchain Technology in Environment Sustainability and Social Good
  15. 9 UAV-Based Smart Wing Inspection System
  16. 10 Edge AIā€“Based Aerial Monitoring
  17. 11 Object Detection in Edge Environment: A Comparative Study of Algorithms and Use Cases
  18. 12 Ambient Intelligence: An Emerging Innovation of Sensing and Service Systems
  19. Index