Applied Edge AI: Concepts, Platforms, and Industry Use Cases
About this ebook
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
About the author
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.
