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Revolution with Generative AI: Trends and Techniques [Hardback]

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  • Formāts: Hardback, 208 pages, height x width: 235x155 mm, 21 Illustrations, color; 3 Illustrations, black and white; VI, 208 p. 24 illus., 21 illus. in color., 1 Hardback
  • Sērija : Information Systems Engineering and Management 50
  • Izdošanas datums: 20-Jun-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 303191659X
  • ISBN-13: 9783031916595
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  • Hardback
  • Cena: 180,78 €*
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Revolution with Generative AI: Trends and TechniquesPalielināt
  • Formāts: Hardback, 208 pages, height x width: 235x155 mm, 21 Illustrations, color; 3 Illustrations, black and white; VI, 208 p. 24 illus., 21 illus. in color., 1 Hardback
  • Sērija : Information Systems Engineering and Management 50
  • Izdošanas datums: 20-Jun-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 303191659X
  • ISBN-13: 9783031916595
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031916595.html
This book delves into the exciting and rapidly evolving world of generative artificial intelligence (AI) and its profound impact on various industries and domains. This comprehensive book brings together leading experts and researchers to explore the cutting-edge advancements, applications, and implications of generative AI technologies. It provides an in-depth exploration of generative AI, which encompasses a range of techniques such as generative adversarial networks (GANs), recurrent neural networks (RNNs), and transformer models like GPT-3. It examines how these technologies enable machines to generate content, including text, images, audio, and more, that closely mimics human creativity and intelligence.



The book's multidisciplinary approach allows it to cater to a wide range of readers with varying levels of expertise and interests in generative AI.
Generative Adversarial Networks (GANs).- Applications of GANs in
high-resolution image synthesis, domain adaptation, and image-to-image
translation.- Reinforcement Learning in Generative AI: State-of-the-Art
Performance.- The Impact of Generative AI on Agriculture Environment.