Advances In Artificial Intelligence: Efficiency, Reliability, And Innovations In Machine Learning To Healthcare, And Blockchain

Zhang, Jingfeng (Editor)/ Wang, Andong (Editor)/ Qing, Haotong (Editor)/ Zhou, Joey (Editor)/ Yaguchi, Takaharu (Editor)/ Dai, Peilun (Editor)/ Zheng, Xingyu (Editor)/ Yue So, Rosa Qi (Editor)/ Toyoda, Kentaroh (Editor)

ISBN 10: 3032123615 / ISBN 13: 9783032123619

Published by Springer Nature Switzerland Ag, 2026

About this Item

205 pages. 6.30x0.67x9.49 inches. In Stock.

Seller Inventory # x-3032123615

Bibliographic Details

• Title: Advances In Artificial Intelligence: Efficiency, Reliability, And Innovations In Machine Learning To Healthcare, And Blockchain
• Publisher: Springer Nature Switzerland Ag
• Publication Date: 2026
• Language: English
• ISBN 10: 3032123615
• ISBN 13: 9783032123619
• Binding: Hardcover
• Condition: Brand New
• Weight: 0.43 kilograms

About this title

Synopsis

Artificial intelligence is transforming the way we live, work, and heal. But true progress depends on more than raw power—it requires systems that are efficient, reliable, and trustworthy.

Advances in Artificial Intelligence: Efficiency, Reliability, and Innovations in Machine Learning, Healthcare, and Blockchain explores cutting-edge breakthroughs across machine learning, healthcare, and blockchain. From interpretable tensor models and life-changing medical applications to secure decentralized learning and safer large language models, this book highlights how innovation can meet responsibility.

Written by leading researchers, this book is an essential resource for anyone looking to understand and shape the next generation of AI.