Deep Learning Model Optimization, Deployment and Improvement Techniques for Edge-native Applications | Agenda Bookshop Skip to content
Please note that books with a 10-20 working days delivery time may not arrive before Christmas.
Please note that books with a 10-20 working days delivery time may not arrive before Christmas.
Age Group_Uncategorized
Age Group_Uncategorized
automatic-update
B01=N. Gayathri
B01=Pethuru Raj
Category1=Non-Fiction
Category=UY
Category=UYQ
Category=UYQM
COP=United Kingdom
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€50 to €100
PS=Active
softlaunch

Deep Learning Model Optimization, Deployment and Improvement Techniques for Edge-native Applications

★★★★★
★★★★★

English

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. See more
€90.24
€94.99
Save 5%
Age Group_Uncategorizedautomatic-updateB01=N. GayathriB01=Pethuru RajCategory1=Non-FictionCategory=UYCategory=UYQCategory=UYQMCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Dimensions: 148 x 212mm
  • Publication Date: 29 Aug 2024
  • Publisher: Cambridge Scholars Publishing
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781036409609

About

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).

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept