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Applied Edge AI

Concepts, Platforms, and Industry Use Cases

Pethuru Raj G. Nagarajan R.I. Minu

$94.99

Paperback

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English
Auerbach
07 October 2024
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
Edited by:   , ,
Imprint:   Auerbach
Country of Publication:   United Kingdom
Dimensions:   Height: 234mm,  Width: 156mm, 
Weight:   603g
ISBN:   9781032217284
ISBN 10:   1032217286
Pages:   318
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
1. Edge Computing: Opportunities and Challenges 2. Demystifying the Edge AI Paradigm 3. Big Data Driven Edge-Cloud Collaboration for Cloud Manufacturing with SDN Technologies 4. Artificial Intelligence in 5G and Beyond Networks 5. An Application Oriented Study of Security Threats and Countermeasures in Edge Computing-Assisted Internet of Things 6. Edge AI for Industrial IoT Applications 7. Edge AI: From the Perspective of Predictive Maintenance 8. Unlocking the Potential of AI-Powered Block Chain Technology in Environment Sustainability and Social Good 9. UAV-Based Smart Wing Inspection System 10. Edge AI-Based Ariel Monitoring 11. Object Detection in Edge Environment: A Comparative Study of Algorithms and Use-Cases 12. Ambient Intelligence: An Emerging Innovation of Sensing and Service Systems

Dr. Pethuru Raj Chelliah is the chief architect in the Site Reliability Engineering (SRE) division of Reliance Jio Infocomm Ltd. (RJIL), Bangalore, India. Dr. G. Nagarajan is a professor at the Department of Computer Science and Engineering, School of Computing, Sathyabama Institute of Science and Technology, Chennai, India. Dr. R. I. Minu is an associate professor at the Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, India.

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