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探秘AI(英文版)

  • 作者:龍宇清//朱瑩|責編:劉芯艾
  • 出版社:清華大學
  • ISBN:9787302700920
  • 出版日期:2025/09/01
  • 裝幀:平裝
  • 頁數:308
人民幣:RMB 138 元      售價:
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內容大鋼
    本書為中學生量身打造,緊密貼合青少年認知發展特點,積極響應「學科融合+素養培育」的改革方向,致力於為青少年構建AI認知的完整框架。全書以清晰的知識脈絡為基礎,通過生活化的新穎案例、直觀易懂的類比,將複雜的AI原理轉化為青少年可感知、可理解的內容,幫助學生建立對人工智慧的科學認知。
    內容上,本書既系統梳理AI技術的歷史演進與關鍵突破,又聚焦當下前沿進展,更展望智能時代的機遇與挑戰——從圖靈測試到深度學習,從AlphaGo到生成式AI,引領青少年全面理解「AI如何改變世界」。此外,AI作為仍在快速迭代的新興學科,許多推動其發展的核心人物仍活躍在科研一線。書中融入這些科學家的成長經歷、學術思想與未來洞見,旨在以真實的人物故事激發青少年的探索熱情,培養他們面對技術變革的批判性思維與創新精神。
    本書不僅是一本AI入門指南,更是一把打開未來世界的鑰匙,助力青少年在智能時代成為懂技術、會思考、有擔當的新一代學習者。

作者介紹
龍宇清//朱瑩|責編:劉芯艾

目錄
Chapter 1  Into the World of AI
Chapter 2  From Grammar to Large Language Models
Chapter 3  The Path to AI
  3.1  The Rise of Human Intelligence
  3.2  Mechanical Excellence
  3.3  A Brief History of Mathematical Logic
  3.4  The Birth of Computers
  3.5  The Birth of AI
  3.6  20th–21st Century AI: 3 Booms and 2 Winters
  3.7  AI Ethics
Chapter 4  AI Fundamentals
  4.1  What is AI and What is Not AI
  4.2  Knowledge-based AI
  4.3  Learning-based AI
  4.4  Key Steps in Machine Learning
  4.5  Learning Methods
  4.6  Learning Strategies
Chapter 5  Introduction to Artificial Neural Networks
  5.1  The Human Nervous System
  5.2  Artificial Neuron and Neural Network
  5.3  Deep Neural Network
  5.4  Convolutional Neural Network
  5.5  Recurrent Neural Network
  5.6  Auto-Encoders and Generative Models
  5.7  Transformers
Chapter 6  Understanding Language: The Key to Intelligence
  6.1  Language and Intelligence
  6.2  The Origins of Computational Linguistics
  6.3  Statistical Language Models
  6.4  Word Embeddings
  6.5  Deep Neural Network Language Models: From RNNs to Transformers
  6.6  From Text-Only to Multimodal AI
Chapter 7  Perception—How AI Feels the World
  7.1  Introduction
  7.2  Computer Vision: Teaching Machines to See
  7.3  Audio Processing: Teaching Machines to Hear
  7.4  Tactile and Other Sensory Perception
  7.5  Active Perception and Embodied AI
  7.6  Challenges, Ethical Considerations, and Future
Chapter 8  Intro to Applications of AI
  8.1  Introduction to AI Applications
  8.2  AI in Content Creation
  8.3  AI in Design and Creativity
  8.4  AI in Synthetic Media
  8.5  AI in Decision Support Systems
  8.6  AI in Strategic Planning
Chapter 9  AI for Science
  9.1  AI4S: Aiding and Accelerating Scientific Discoveries
  9.2  AI for Astronomy
  9.3  AI for Medicine

  9.4  AI for Environmental Science
  9.5  AI for Mathematics
  9.6  AI for Natural Sciences
  9.7  AI for Social Science
  9.8  AI for Neuroscience
Chapter 10  AI for Social Good
  10.1  Introduction to AI for Social Good (AI4SG)
  10.2  Smart Urban Planning
  10.3  AI in Logistics and Supply Chain
  10.4  Public Safety and Humanitarian Aid
  10.5  Future Directions for AI4SG
  10.6  Using AI to Make a Real Difference
References

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