Generative Artificial Intelligence

Generative Artificial Intelligence

  • R. Nidhya
  • D. Pavithra
  • Manish Kumar
  • A. Dinesh Kumar
  • S. Balamurugan
Publisher:John Wiley & SonsISBN 13: 9781394209811ISBN 10: 1394209819

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Know about the book -

Generative Artificial Intelligence is written by R. Nidhya and published by John Wiley & Sons. It's available with International Standard Book Number or ISBN identification 1394209819 (ISBN 10) and 9781394209811 (ISBN 13).

This book is a comprehensive overview of AI fundamentals and applications to drive creativity, innovation, and industry transformation. Generative AI stands at the forefront of artificial intelligence innovation, redefining the capabilities of machines to create, imagine, and innovate. GAI explores the domain of creative production with new and original content across various forms, including images, text, music, and more. In essence, generative AI stands as evidence of the boundless potential of artificial intelligence, transforming industries, sparking creativity, and challenging conventional paradigms. It represents not just a technological advancement but a catalyst for reimagining how machines and humans collaborate, innovate, and shape the future. 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, providing dependable and precise methods. The third section explores 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 into content creation for more interactive processes. Audience The book will be read by researchers, engineers, and students working in artificial intelligence, computer science, and electronics and communication engineering as well as industry application areas.