Generative and Open AI in Industry 5.0

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.

‘The editors have assembled a stellar line-up of contributors, who together explore every aspect of this cutting-edge topic. Combining research and practice, this will be an indispensable text for all readers.’Brian A. Martin, University of East London, UK; Past President, UCAP

• 1. Generative and Open AI. 2. Decoding the Generative Transformer: Core of Gen AI. 3. Evolution of Language Understanding and Large Language Models. 4. Generative AI for Industry 5.0: The Role of Diffusion Models in Next-Generation Landscapes. 5. Software Engineering Reimagined and Development. 6. The Evolution of Industry: From 1.0 to 5.0. 7. System and Design Perspective for Industry 5.0. 8. Security Paradigm for Industry 5.0. 9. Generative AI for FinTech. 10. Mirror Reality: Exploring the Realm of Digital Twin Systems. 11. Cloud-Powered Intelligence: Integrating Generative AI for Scalable Innovation in Industry 5.0. 12. Ethical and Regulatory Aspects of AI in Industry 5.0. 13. The Trust Fabric: AI, Agents, and Cybersecurity in Industry 5.0. 14. AI-Assisted Smart Energy Infrastructure for a Sustainable Industry 5.0 to Support Virtual Power Plant. 15. Self-Evolving Twins: Shaping Ethical, Resilient, and Human-Centered Industry 5.0. 16. Graph Neural Networks in Industry 5.0: Smart Connectivity and Predictive Intelligence. 17. Automated Documentation Using Generative AI in Version-Controlled Projects.