Revolution with Generative AI: Trends and Techniques

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.

Summary

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.

Product details

• Assisted by: N Gayathri (Editor), S. Rakesh kumar (Editor), S Rakesh Kumar (Editor), Alvaro Rocha (Editor)
• Publisher: Springer, Berlin
• Content: Book
• Product form: Hardback
• Publication date: 11.07.2025
• Subject: Natural sciences, medicine, IT, technology > Technology > General, dictionaries
• EAN: 9783031916595
• ISBN: 978-3-0-3191659-5
• Pages: 208
• Illustrations: VI, 208 p. 24 illus., 21 illus. in color.
• Dimensions (packing): 15.5 x 1.5 x 23.5 cm
• Weight (packing): 438 g
• Series: Information Systems Engineering and Management
• Subjects: machine learning, Artificial Intelligence, Deep Learning, Unsupervised Learning, Neural Networks, Natural Language Processing, Computational Intelligence, Transfer Learning, Creative AI, Data Augmentation, Variational Autoencoders, Style Transfer, Text-to-Image Synthesis, Image Generation, Conditional Generation