Gebundenes Buch

Generative and Open AI in Industry 5.0

Beschreibung

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. Part one 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. The second half 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 policy makers who wish to lead in cutting-edge technological advancements, with emphasis on responsible, secure, and human-oriented AI applications for a brighter future.

Autor

Sangeeta Sharma is an Assistant Professor in the department of CSE at NIT Hamirpur, Himachal Pradesh, India. She received her Ph.D. in Computer Science from MANIT Bhopal in 2017. Her research interests include virtualization technologies, cloud computing, AI/ML, 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 CSE at NIT Hamirpur, Himachal Pradesh, India. He specializes in Big Data Analytics, IoT, Machine Learning, and Wireless Networks. He holds a Ph.D. from IIT Indore and M.Tech (Gold Medalist) from RGPV Bhopal in CSE. Mukesh Kumar Giluka is an Assistant Professor in School of Engineering, Jawaharlal Nehru University, New Delhi, India. He earned his Ph.D. from IIT Hyderabad. His research interests are in the areas of Application of AI/ML, 5G/6G Networks and Open RAN.

Produktdetails

• Verlag: Taylor & Francis Ltd
• Seitenzahl: 244
• Erscheinungstermin: 26. Februar 2026
• Englisch
• Abmessung: 234mm x 156mm
• ISBN-13: 9781032979816
• ISBN-10: 103297981X
• Artikelnr.: 75425097