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.

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Yes, you can access Generative AI by N. Gayathri,S. Rakesh Kumar,Ramesh Chandran,Pethuru Raj,Danilo Pelusi in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Computer Science

Subtopic

Artificial Intelligence (AI) & Semantics

Index

Computer Science

Cover
Series Page
Title Page
Copyright Page
Contents
Preface
Chapter 1 Introduction to Generative AI
Chapter 2 Generative Adversarial Networks (GANs)
Chapter 3 Reinforcement Learning in Generative AI
Chapter 4 Pix2pix GAN for Image-to-Image Translation: A Comparative Study with Diverse Datasets
Chapter 5 Study of State-of-the-Art Performance Metrics in NLP: Specifically for Text Summarization in the Medical Domain Using the SumPubMed Dataset
Chapter 6 The Impact of Generative AI in Gaming: Exploring Immersive Experiences
Chapter 7 Ethical Dimensions and Societal Effects of Generative AI: The Portrayal of Ethical Issues of ChatGPT, DALL-E, and Other Systems
Chapter 8 Generative Artificial Intelligence for Social Good and Sustainable Development
Chapter 9 Revolutionizing Implementation: Cutting-Edge Tools and Resources in Generative AI
Chapter 10 Applying Fuzzy Data Science in Generative AI for Healthcare
Chapter 11 Generative AI in Hospital Industry Transforming Medical Imagining for Patient Diagnosis and Health Data Management
Index
EULA

About this book

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Table of contents