Advances in Artificial Intelligence: Efficiency, Reliability, and Innovations in Machine Learning to Healthcare, and Blockchain
暫譯: 人工智慧的進展：機器學習在醫療保健與區塊鏈中的效率、可靠性與創新

Zhang, Jingfeng, Zhou, Joey, Yue So, Rosa Qi

Advances in Artificial Intelligence: Efficiency, Reliability, and Innovations in Machine Learning to Healthcare, and Blockchain
  • 出版商: Springer
  • 出版日期: 2026-05-15
  • 售價: $7,340
  • 貴賓價: 9.5 折 $6,973
  • 語言: 英文
  • 頁數: 195
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032123615
  • ISBN-13: 9783032123619
  • 相關分類: Machine Learning、Large language model、區塊鏈 Blockchain

    • 海外代購書籍(需單獨結帳)

商品描述

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.

商品描述(中文翻譯)

人工智慧正在改變我們的生活、工作和醫療方式。但真正的進步不僅僅依賴於原始的計算能力——它需要高效、可靠且值得信賴的系統。《人工智慧的進步：效率、可靠性與機器學習、醫療保健及區塊鏈的創新》探討了機器學習、醫療保健和區塊鏈領域的尖端突破。從可解釋的張量模型和改變生活的醫療應用，到安全的去中心化學習和更安全的大型語言模型，本書突顯了創新如何能夠與責任相結合。

本書由領先的研究者撰寫，是任何希望理解並塑造下一代人工智慧的人的重要資源。

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