GENERATIVE ARTIFICIAL INTELLIGENCE CONCEPTS AND APPLICATIONS (HB 2025). Cet article n’est pas disponible.GENERATIVE ARTIFICIAL INTELLIGENCE CONCEPTS AND APPLICATIONS (HB 2025)

The objective of Generative Artificial Intelligence: Concepts and Applications is to understand the basics of generative models, neural networks, and algorithms used in generating data. Generative AI stands at the forefront of artificial intelligence, redefining what machines are capable of. With artificial intelligence getting stronger each day, this book explores the practical applications across various domains, like art, music, and text generation. Moreover, generative AI extends its influence beyond creative endeavors to elevate interactive experiences that captivate audiences.

The book examines real-world examples of how generative AI is being used in a variety of industries. The first section explores the fundamental concepts and ethical considerations of generative AI. In addition, the section also introduces machine learning algorithms and natural language processing. The second section introduces novel neural network designs and convolutional neural networks. The information provides dependable and precise methods for readers to learn. The third section delves into the latest learning-based methodologies to help researchers and farmers choose optimal algorithms for specific crop and hardware needs. Furthermore, this section evaluates significant advancements in revolutionizing online content analysis, offering real-time insights to content creation for more interactive processes.

R. Nidhya, PhD, is an assistant professor in the Department of Computer Science & Engineering, Madanapalle Institute of Technology & Science, affiliated with Jawaharlal Nehru Technical University, Anantapuram, India. She has published many research papers in international journals and her research interests include wireless body area networks, network security, and data mining.

D. Pavithra, PhD, is an assistant professor at Dr. NGP Institute of Technology, Coimbatore, Tamil Nadu, India. Her current research interests include autism, machine learning, and deep learning.

Manish Kumar, PhD, is an assistant professor at The School of Computer Science & Engineering, VIT, Chennai, India. His research interests include soft computing applications for bioinformatics problems and computational intelligence.

A. Dinesh Kumar, PhD, is an associate professor at KL (Deemed to be University), Vijayawada, Andhra Pradesh, India. His current research interests include wireless body area networks, wireless sensor networks, network security, and artificial intelligence.

S. Balamurugan, PhD, is the Director of Research and Development, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamil Nadu, India. He is also Director of the Albert Einstein Engineering and Research Labs (AEER Labs), as well as Vice-Chairman of the Renewable Energy Society of India (RESI), India. He has published 50+ books, 200+ international journals/conferences, and 35 patents.