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

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

・ISBN 978-3-032-12361-9 hard EUR 159.99

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お気に入り
著者・編者Zhang, Jingfeng / Zhou, Joey / Yue So, Rosa Qi / Yaguchi, Takaharu / Toyoda, Kentaroh / Wang, Andong / Dai, Peilun / Qing, Haotong / Zheng, Xingyu (eds.),
シリーズ (Adaptation, Learning, and Optimization)
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2026
ページ数195 pp.
言語ENG
ニュース番号<A05-4697>

解説

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.