Advances in Artificial Intelligence: Efficiency, Reliability, and Innovations in Machine Learning to Healthcare, and Blockchain

Jingfeng Zhang editor Joey Zhou editor Rosa Qi Yue So editor Takaharu Yaguchi editor Kentaroh Toyoda editor Andong Wang editor Peilun Dai editor Haotong Qing editor

Format:Hardback

Publisher:Springer Nature Switzerland AG

Published:15th May '26

Currently unavailable, and unfortunately no date known when it will be back

Advances in Artificial Intelligence: Efficiency, Reliability, and Innovations in Machine Learning to Healthcare, and Blockchain cover

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.

ISBN: 9783032123619

Dimensions: unknown

Weight: unknown

195 pages