Next-Generation Artificial Intelligence: From Foundations to Intelligent Applications

Next-Generation Artificial Intelligence: From Foundations to Intelligent Applications is an edited research volume that brings together cutting-edge developments, theoretical insights, and practical perspectives from across the rapidly evolving field of Artificial Intelligence. Designed for students, researchers, practitioners, and innovators, this book covers a comprehensive exploration of modern AI-from its mathematical and computational foundations to its advanced applications in healthcare, industry, education, governance, and beyond. Each chapter is authored by domain experts and presents a blend of conceptual clarity, methodological depth, and real-world relevance. By integrating foundational principles with next-generation intelligent systems, this volume serves as a valuable reference for understanding current AI trends, identifying future research directions, and supporting informed decision-making in technology-driven environments. With its interdisciplinary approach and high-quality contributions, this book aims to inspire continued innovation and foster meaningful progress in the broader landscape of artificial intelligence.
This book offers a unified platform for understanding how Artificial Intelligence is evolving toward more adaptive, transparent, and human-centric systems. By blending classical AI theories with contemporary breakthroughs-including deep neural networks, intelligent automation, natural language systems, and real-time decision frameworks-the volume provides readers with both a strong conceptual foundation and practical exposure to real-world innovations. The chapters collectively highlight the transformative potential of AI in addressing societal challenges, optimizing industrial processes, enhancing digital ecosystems, and enabling data-driven solutions across diverse domains. Whether used as an academic reference, a research companion, or a practical guide for emerging technologies, this book equips readers with the knowledge and perspective needed to engage meaningfully with next-generation Artificial Intelligence

EDITOR BIOGRAPHIES

Dr. Vishwas Mishra

Chief Editor

Dr.Vishwas Mishra currently Associate Professor in the Department of Electrical and Electronics Engineering department of Swami Vivekanand Subharti University, Meerut, Uttar Pradesh, India. He had done his Ph.D and M.Tech. in VLSI Design from “ITM University, Gwalior”, Madhya Pradesh, India. He passed B.Tech in ECE from RGTU, Bhopal, Madhya Pradesh, India. He has reviewed more than 3 books with Springer and published more than 10 research papers in international/national journals/conferences and book chapters and has more than 4 national patents in the field of low power design. His area of interest is on Low power VLSI Design, Memristor, Artificial Intelligence, and Machine Learning.

Dr. Sivaram Rajeyyagari

Associate Editor

Dr. Sivaram Rajeyyagari Sivaram Rajeyyagari is a distinguished academician, researcher, and author with over two decades of experience in the field of Computer Science and Engineering. He earned his Ph.D. in Computer Science in 2007 and has since established a career that bridges academic excellence and impactful research. His areas of expertise include Computer Networks, Cyber Security, Artificial Intelligence, Big Data, and Image Processing. Dr. Sivaram has authored 16 textbooks tailored to technical education curricula and published extensively in leading national and international journals indexed in Scopus and Web of Science. In addition to guiding Ph.D., M.Phil., and postgraduate research scholars, he has also been actively involved in curriculum development, institutional accreditation, and academic administration across various reputed institutions both in India and abroad.

Mr. N. Hariprasad

Editor

Mr.N.Hariprasad received B.E degree in Electronics and Instrumentation Engineering and M.Tech. degree in Control and Instrumentation Engineering with distinction from Anna University, Chennai. He is currently working towards the Ph.D. degree at the Department of Electronics and Instrumentation Engineering, St. Joseph’s College of engineering Chennai, India. His areas of research include Biosignal Processing, Image & video processing. He is an active member of International Association of Engineers (IAENG) and Association for Computing machinery (ACM).

Mrs. Pavani Kollamudi

Editor

Pavani Kollamudi currently Senior Assistant Professor in the Department of Electronics and Communication Engineering of Lakireddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India. She has been pursuing her Ph.D. (VLSI Design) and Completed M.Tech in DE&CS domain from JNTU Kakinada, Andhra Pradesh. She passed B.Tech in EIE from Sir C R Reddy College of Engineering, Affiliated to AU, Eluru, Andhra Pradesh, India. She has published more than 8 research papers in international/national journals/conferences and book chapters and has more than 2 national patents in the multi - field domain where core applications merge with AI and Deep learning. Her area of interest is Low power VLSI Design especially suitable for digital circuits where it can further be integrated to IOT related applications.