Generative AI

N. Gayathri, PhD, is an assistant professor in the Department of Computer Science and Engineering at the Ghandi Institute of Technology and Management, India. She has published several articles in international journals, edited many books, and serves as a guest editor and reviewer for several international journals. Her research interests include big data analytics, Internet of Things, and mobile networks, and sustainable computing. S Rakesh Kumar, PhD, is an assistant professor in the Department of Computer Science and Engineering at the Ghandi Institute of Technology and Management, India. He has several publications in international journals, conference proceedings, and edited volumes. His research interests include artificial intelligence and machine learning. Ramesh Chandran, PhD, is an associate professor in the Department of Computer Science and Engineering at the Vellore Institute of Technology, India, with over 19 years of combined teaching and industry experience. He has published over 20 articles in international journals and has presented papers in national and international conferences. His research interests include cloud computing, data mining, artificial intelligence, data analytics, and blockchain. Pethuru Raj, PhD, is a chief architect at Reliance Jio Platforms Ltd., Bangalore, India with over 30 years of combined industry and research experience in information technology. He has been granted international research fellowships from organizations including the Japan Society for the Promotion of Science and the Japan Science and Technology Agency. His research interests include Internet of Things, artificial intelligence, model optimization techniques, blockchain, digital twins, and cloud computing. Danilo Pelusi, PhD, is an associate professor of Computer Science in the Department of Communication Sciences, University of Teramo, Italy. He is an editor for several internationally published books and journals and a member of Machine Intelligence Research Labs. His research interests include coding theory, artificial intelligence, signal processing, pattern recognition, fuzzy logic, neural networks, and genetic algorithms.

• Preface xiii1 Introduction to Generative AI 1Ritika Lath, Renuka Patwari, Amit Aylani and Deepak Hajoary2 Generative Adversarial Networks (GANs) 29Ankur Chaudhary, Ritesh Rastogi, Aditee Mattoo, Punit Kumar, Tanvi Kumari and Devansh Dubey3 Reinforcement Learning in Generative AI 57Kanthavel R., Adline Freeda R. and Dhaya R.4 Pix2pix GAN for Image-to-Image Translation: A Comparative Study with Diverse Datasets 73Lakshmipriya B., Pankaj Kumar Singh and Jayalakshmy S.5 Study of State-of-the-Art Performance Metrics in NLP: Specifically for Text Summarization in the Medical Domain Using the SumPubMed Dataset 91M. Sridhar, Mohammad Irfan and Sukumar Kathirmani6 The Impact of Generative AI in Gaming: Exploring Immersive Experiences 107Nalli Vinaya Kumari, G.S. Pradeep Ghantasala, U. Ananthanagu, Pellakuri Vidyullatha and Mudassir Khan7 Ethical Dimensions and Societal Effects of Generative AI: The Portrayal of Ethical Issues of ChatGPT, DALL-E, and Other Systems 131Bhuvaneswari Sivagnanam, Saranya Rajiakodi, Kathiravan Pannerselvam and Bharathi Raja Chakravarthi8 Generative Artificial Intelligence for Social Good and Sustainable Development 153Wasswa Shafik9 Revolutionizing Implementation: Cutting-Edge Tools and Resources in Generative AI 187Blessing Takawira and David Pooe10 Applying Fuzzy Data Science in Generative AI for Healthcare 215Yogeesh N.11 Generative AI in Hospital Industry Transforming Medical Imagining for Patient Diagnosis and Health Data Management 249Bhupinder Singh and Christian KaunertReferences 262Index 271