Applied Artificial Intelligence 4-5: Medicine, Biology, Chemistry, Financial, Games, Engineering: The Fourth Serbian International Conference on Appli
暫譯: 應用人工智慧 4-5:醫學、生物學、化學、金融、遊戲、工程:第四屆塞爾維亞國際應用會議

Filipovic, Nenad

  • 出版商: Springer
  • 出版日期: 2026-07-15
  • 售價: $9,170
  • 貴賓價: 9.5$8,711
  • 語言: 英文
  • 頁數: 246
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3032238897
  • ISBN-13: 9783032238894
  • 相關分類: DeepLearningReinforcement
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book bridges advanced mathematical foundations with real-world implementation, offering readers practical insight into deep learning architectures, reinforcement learning, predictive modeling, digital twins, and intelligent optimization systems. Artificial Intelligence is reshaping every major scientific and industrial domain. In this book, Nenad Filipovic presents a rigorous, interdisciplinary exploration of AI-driven solutions across medicine, biology, chemistry, finance, gaming systems, and engineering.

From AI-enhanced diagnostics and computational physiology to molecular modeling, algorithmic trading, multi-agent systems, and smart manufacturing, the book demonstrates how intelligent algorithms transform complex data into actionable knowledge.

Emphasizing transparency, robustness, and trustworthy AI principles, the book integrates statistical validation frameworks, computational algorithms, and applied case studies drawn from diverse high-impact fields.

Designed for researchers, engineers, clinicians, financial analysts, and graduate students, this book provides a comprehensive roadmap for understanding and implementing AI in multidisciplinary environments. It stands as an essential reference for those seeking to harness artificial intelligence to solve real-world scientific and technological challenges

商品描述(中文翻譯)

本書將高級數學基礎與實際應用相結合,為讀者提供有關深度學習架構、強化學習、預測建模、數位雙胞胎及智能優化系統的實用見解。人工智慧正在重塑每一個主要的科學和工業領域。在本書中,Nenad Filipovic 進行了嚴謹的跨學科探索,探討了醫學、生物學、化學、金融、遊戲系統和工程等領域的 AI 驅動解決方案。

從 AI 增強的診斷和計算生理學到分子建模、算法交易、多代理系統和智能製造,本書展示了智能算法如何將複雜數據轉化為可行的知識。

本書強調透明性、穩健性和可信賴的 AI 原則,整合了統計驗證框架、計算算法以及來自多個高影響力領域的應用案例研究。

本書專為研究人員、工程師、臨床醫生、金融分析師和研究生設計,提供了一個全面的路線圖,以理解和實施 AI 在多學科環境中的應用。對於那些希望利用人工智慧解決現實世界科學和技術挑戰的人來說,本書是一本必備的參考資料。