Generative artificial intelligence : concepts and applications / edited by R. Nidhya... [and 4 others].
Contributor(s): Nidhya, R [editor.]
Language: English Series: Industry 5.0 transformation applications: Publisher: Hoboken, NJ : Beverly, MA : John Wiley & Sons, Inc. ; Scrivener Publishing LLC, 2025Copyright date: ©2025Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781394209224; 9781394209835; 1394209835; 1394209827; 9781394209828; 9781394209811; 1394209819Subject(s): Artificial intelligence | Intelligence artificielle | artificial intelligenceGenre/Form: Electronic books.Additional physical formats: Print version:: No title; Print version :: No titleLOC classification: Q335 | .G46 2025Online resources: Full text is available at Wiley Online Library. Click here to view. Summary: 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.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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Includes bibliographical references and index.
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.
Description based on online resource; title from digital title page (viewed on March 06, 2025).
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