![Generative Artificial Intelligence (AI) Approaches for Industrial Applications](/uploads/posts/2025-02/1738788465_250.jpg)
Автор: Narasimha Rao Vajjhala, Sanjiban Sekhar Roy, Burak Taşcı, Muhammad Enamul Hoque Chowdhury
Издательство: Springer
Год выхода: 2025
Страниц: 352
Формат: True PDF
Размер: 12,5 MB
Язык: английский
• Includes the latest advancements in generative AI, including cutting-edge case studies and examples
• Offers a comprehensive view of how generative AI is applied across different sectors covering a wide range of industries
• Provides a blend of theoretical foundations and practical applications
"Generative Artificial Intelligence (AI) Approaches for Industrial Applications" explores the transformative potential of Generative AI technologies across various industries. With contributions from international scholars and experts, this book provides a comprehensive overview of the latest trends, mathematical foundations, and practical applications of Generative AI models.
Key sections examine the fundamental concepts of Generative AI, including Generative Adversarial Networks (GANs) and their ethical and security considerations. Special attention is given to the revolutionary impact of Generative AI in healthcare technologies, clinical decision-making, and predictive maintenance within the manufacturing sector. Additionally, the role of Generative AI in FinTech, particularly in redefining business models and enhancing digital security, is thoroughly examined. This book features cutting-edge research on text summarization, age progression using GANs, and integrating AI with regulatory practices. This book is a vital resource for academics, professionals, and practitioners bridging the gap between theoretical AI frameworks and their real-world industrial applications, offering insights into how Generative AI is shaping the future of industries worldwide.
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