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

Author:   Jingfeng Zhang ,  Joey Zhou ,  Rosa Qi Yue So ,  Takaharu Yaguchi
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032123619


Pages:   195
Publication Date:   09 May 2026
Format:   Hardback
Availability:   Not yet available   Availability explained
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Advances in Artificial Intelligence: Efficiency, Reliability, and Innovations in Machine Learning to Healthcare, and Blockchain


Overview

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.

Full Product Details

Author:   Jingfeng Zhang ,  Joey Zhou ,  Rosa Qi Yue So ,  Takaharu Yaguchi
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032123619


ISBN 10:   3032123615
Pages:   195
Publication Date:   09 May 2026
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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