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内容大纲
本书为中学生量身打造，紧密贴合青少年认知发展特点，积极响应“学科融合+素养培育”的改革方向，致力于为青少年构建AI认知的完整框架。全书以清晰的知识脉络为基础，通过生活化的新颖案例、直观易懂的类比，将复杂的AI原理转化为青少年可感知、可理解的内容，帮助学生建立对人工智能的科学认知。
内容上，本书既系统梳理AI技术的历史演进与关键突破，又聚焦当下前沿进展，更展望智能时代的机遇与挑战——从图灵测试到深度学习，从AlphaGo到生成式AI，引领青少年全面理解“AI如何改变世界”。此外，AI作为仍在快速迭代的新兴学科，许多推动其发展的核心人物仍活跃在科研一线。书中融入这些科学家的成长经历、学术思想与未来洞见，旨在以真实的人物故事激发青少年的探索热情，培养他们面对技术变革的批判性思维与创新精神。
本书不仅是一本AI入门指南，更是一把打开未来世界的钥匙，助力青少年在智能时代成为懂技术、会思考、有担当的新一代学习者。 -
作者介绍
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目录
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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