Generative and Open AI in Industry 5.0 - Couverture rigide

Couverture rigide

ISBN 10 : 103297981X ISBN 13 : 9781032979816

Editeur : CRC Press, 2026

Synopsis

This book provides an up-to-date and easy-to-read introduction to Generative AI and its revolutionary contribution to building Industry 5.0. Written for both practitioners and interested readers, it is a clear and compelling overview of the technologies at the heart of the next industrial revolution.

The book introduces the conceptual notions behind generative models, large language models (LLMs), and the neural networks that drive them. It delves into the mathematical and conceptual foundations of Generative AI, transformer architecture, and the practical applications of language and vision models. Further, the book links the innovations to Industry 5.0, discussing digital twins, predictive maintenance, DevOps, and cybersecurity in intelligent systems. It encompasses real-world applications of AI in areas such as finance, manufacturing, and smart infrastructure. Case studies, like the application of generative models in FinTech and blockchain adoption, underscore how AI is already transforming business and society around the world.

The book is perfect for students, researchers, and practitioners of AI, data science, and industrial systems interested in comprehending the theory and practical applications of Generative AI. It also benefits educators and policymakers who wish to lead in cutting-edge technological advancements, with emphasis on responsible, secure, and human-oriented AI applications for a brighter future.

A propos du livre

À propos de l'auteur

Sangeeta Sharma is an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Hamirpur, Himachal Pradesh, India. She earned a PhD in computer science at the Maulana Azad National Institute of Technology Bhopal in 2017. Her research interests include virtualization technologies, cloud computing, artificial intelligence/machine learning, federated learning, and distributed systems, with a focus on efficient and scalable resource management.

Robin Singh Bhadoria is an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Hamirpur, Himachal Pradesh, India. He specializes in big data analytics, IoT, machine learning, and wireless networks. He earned a PhD at the Indian Institute of Technology Indore and an MTech (Gold Medalist) at Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, in computer science engineering.

Mukesh Kumar Giluka is an assistant professor in the School of Engineering, Jawaharlal Nehru University, New Delhi, India. He earned a PhD at the Indian Institute of Technology Hyderabad. His research interests include 5G/6G networks, Wi-Fi networks, V2X communication, ISAC, and Open RAN.

Détails de l'édition

• Éditeur: CRC Press
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 103297981X
• ISBN 13: 9781032979816
• Reliure: Relié
• Nombre de pages: 244
• Éditeur: Sharma Sangeeta, Bhadoria Robin Singh, Giluka Mukesh Kumar
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Allemagne