人工智能驅動科學創新（AI for Science）帶來的產業變革與每個人息息相關。人工智能作為新一輪科技革命和產業變革的核心驅動力，其潛力已初現倪端。然而，要想推動人類文明的整體躍進，人工智能必須與各交叉領域的科學研究緊密結合，學習科學原理、創造科學模型來解決實際問題，加快科技成果向現實生產力轉化。本書聚焦于深度學習、強化學習、遷移學習、深度神經網絡等人工智能技術與材料科學、生命科學、電子科學、能源科學、環境科學五大領域的交叉融合，通過深入淺出的語言和具體應用示例，對基本概念、技術原理和應用場景進行了全面的介紹。
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