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Full Description
This book is essential for anyone eager to understand the groundbreaking advancements in generative AI and its transformative effects across industries, making it a valuable resource for both professional growth and creative inspiration.
Generative AI: Disruptive Technologies for Innovative Applications delves into the exciting and rapidly evolving world of generative artificial intelligence and its profound impact on various industries and domains. This comprehensive volume brings together leading experts and researchers to explore the cutting-edge advancements, applications, and implications of generative AI technologies. This volume provides an in-depth exploration of generative AI, which encompasses a range of techniques such as generative adversarial networks, recurrent neural networks, and transformer models like GPT-3. It examines how these technologies enable machines to generate content, including text, images, and audio, that closely mimics human creativity and intelligence. Readers will gain valuable insights into the fundamentals of generative AI, innovative applications, ethical and social considerations, interdisciplinary insights, and future directions of this invaluable emerging technology. Generative AI: Disruptive Technologies for Innovative Applications is an indispensable resource for researchers, practitioners, and anyone interested in the transformative potential of generative AI in revolutionizing industries, unleashing creativity, and pushing the boundaries of what's possible in artificial intelligence.
Audience
AI researchers, industry professionals, data scientists, machine learning experts, students, policymakers, and entrepreneurs interested in the innovative field of generative AI.
Contents
Preface xiii
1 Introduction to Generative AI 1
Ritika Lath, Renuka Patwari, Amit Aylani and Deepak Hajoary
2 Generative Adversarial Networks (GANs) 29
Ankur Chaudhary, Ritesh Rastogi, Aditee Mattoo, Punit Kumar, Tanvi Kumari and Devansh Dubey
3 Reinforcement Learning in Generative AI 57
Kanthavel R., Adline Freeda R. and Dhaya R.
4 Pix2pix GAN for Image-to-Image Translation: A Comparative Study with Diverse Datasets 73
Lakshmipriya 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 91
M. Sridhar, Mohammad Irfan and Sukumar Kathirmani
6 The Impact of Generative AI in Gaming: Exploring Immersive Experiences 107
Nalli Vinaya Kumari, G.S. Pradeep Ghantasala, U. Ananthanagu, Pellakuri Vidyullatha and Mudassir Khan
7 Ethical Dimensions and Societal Effects of Generative AI: The Portrayal of Ethical Issues of ChatGPT, DALL-E, and Other Systems 131
Bhuvaneswari Sivagnanam, Saranya Rajiakodi, Kathiravan Pannerselvam and Bharathi Raja Chakravarthi
8 Generative Artificial Intelligence for Social Good and Sustainable Development 153
Wasswa Shafik
9 Revolutionizing Implementation: Cutting-Edge Tools and Resources in Generative AI 187
Blessing Takawira and David Pooe
10 Applying Fuzzy Data Science in Generative AI for Healthcare 215
Yogeesh N.
11 Generative AI in Hospital Industry Transforming Medical Imagining for Patient Diagnosis and Health Data Management 249
Bhupinder Singh and Christian Kaunert
References 262
Index 271
