Generative AI Foundations, Developments, and Applications (Hardcover)

Rajkumar Kannan

ISBN 13: 9798369362556

Published by IGI Global, 2025

About this Item

Hardcover. In recent years, the field of generative artificial intelligence (AI) has witnessed remarkable advancements, transforming various domains from art and music to language and healthcare. Advanced techniques, such as conditional generation, style transfer, and unsupervised learning, showcase the cutting-edge research shaping the field. The ability of generative AI models to create novel content autonomously has sparked immense interest and innovation. Future directions provide speculations for potential breakthroughs, challenges, and opportunities for further research and innovation. Generative AI Foundations, Developments, and Applications serves as a resource to understanding generative AI across various domains including natural language processing, computer vision, and drug discovery. It explores the theoretical foundations, latest developments, and practical applications of generative AI. Covering topics such as prompt engineering, multimodal data fusion, and natural language processing, this book is an excellent resource for computer scientists, computer engineers, practitioners, professionals, researchers, scholars, academicians, and more. "The objective of this book is to serve as a comprehensive resource that sheds light on all aspects of generative artificial intelligence (AI), from its theoretical foundations to its practical applications"-- Provided by publisher. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9798369362556

Bibliographic Details

• Title: Generative AI Foundations, Developments, and Applications (Hardcover)
• Publisher: IGI Global
• Publication Date: 2025
• Language: English
• ISBN 13: 9798369362556
• Binding: Hardcover
• Condition: new

About this title

Synopsis

In recent years, the field of generative artificial intelligence (AI) has witnessed remarkable advancements, transforming various domains from art and music to language and healthcare. Advanced techniques, such as conditional generation, style transfer, and unsupervised learning, showcase the cutting-edge research shaping the field. The ability of generative AI models to create novel content autonomously has sparked immense interest and innovation. Future directions provide speculations for potential breakthroughs, challenges, and opportunities for further research and innovation. Generative AI Foundations, Developments, and Applications serves as a resource to understanding generative AI across various domains including natural language processing, computer vision, and drug discovery. It explores the theoretical foundations, latest developments, and practical applications of generative AI. Covering topics such as prompt engineering, multimodal data fusion, and natural language processing, this book is an excellent resource for computer scientists, computer engineers, practitioners, professionals, researchers, scholars, academicians, and more.