Deep Learning Model Optimization, Deployment and Improvement Techniques for Edge-native Applications
1st Edition
Published on 1. June 2025
Book
Paperback/Softback
426 pages
978-1-0364-5047-2 (ISBN)
Description
The edge AI implementation technologies are fast maturing and stabilizing. Edge AI digitally transforms retail, manufacturing, healthcare, financial services, transportation, telecommunication, and energy. The transformative potential of Edge AI, a pivotal force in driving the evolution from Industry 4.0's smart manufacturing and automation to Industry 5.0's human-centric, sustainable innovation. The exploration of the cutting-edge technologies, tools, and applications that enable real-time data processing and intelligent decision-making at the network's edge, addressing the increasing demand for efficiency, resilience, and personalization in industrial systems.
Our book aims to provide readers with a comprehensive understanding of how Edge AI integrates with existing infrastructures, enhances operational capabilities, and fosters a symbiotic relationship between human expertise and machine intelligence. Through detailed case studies, technical insights, and practical guidelines, this book serves as an essential resource for professionals, researchers, and enthusiasts poised to harness the full potential of Edge AI in the rapidly advancing industrial landscape.
Our book aims to provide readers with a comprehensive understanding of how Edge AI integrates with existing infrastructures, enhances operational capabilities, and fosters a symbiotic relationship between human expertise and machine intelligence. Through detailed case studies, technical insights, and practical guidelines, this book serves as an essential resource for professionals, researchers, and enthusiasts poised to harness the full potential of Edge AI in the rapidly advancing industrial landscape.
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Additional editions
N. Gayathri | Pethuru Raj | N. Gayathri
Deep Learning Model Optimization, Deployment and Improvement Techniques for Edge-native Applications
Book
08/2024
Cambridge Scholars Publishing
€121.80
Shipment within 15-20 days
Persons
Pethuru Raj PhDs a chief architect at the Edge AI division of Reliance Jio Platforms Ltd. (JPL) Bangalore. He previously worked in IBM Global Cloud Centre of Excellence (CoE), Wipro consulting services (WCS), and Robert Bosch Corporate Research (CR). He completed his CSIR-sponsored PhD degree at Anna University. Pethuru Raj is a chief architect at the Edge AI division of Reliance Jio Platforms Ltd. (JPL), Bangalore, (India), with over 23 years of IT industry experience and 9 years of research experience. He obtained his PhD from Anna University, Chennai (India) and continued with his postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science (IISc), Bangalore. He previously worked in IBM Global Cloud Centre of Excellence (CoE), Wipro consulting services (WCS), and Robert Bosch Corporate Research (CR).
N. Gayathri received her PhD in Information and Communication Engineering from Anna University. She received her ME degree in Computer Science and Engineering, her B Tech degree in Information Technology from Thiagarajar College of Engineering, India. She is currently working as an Assistant Professor in the Department of Computing Science and Engineering at Gandhi Institute of Technology and Management (Deemed to be University).
N. Gayathri received her PhD in Information and Communication Engineering from Anna University. She received her ME degree in Computer Science and Engineering, her B Tech degree in Information Technology from Thiagarajar College of Engineering, India. She is currently working as an Assistant Professor in the Department of Computing Science and Engineering at Gandhi Institute of Technology and Management (Deemed to be University).