《我看见的世界》内容简介

　　《我看见的世界》既是李飞飞的个人史，也是一部波澜壮阔、跌宕起伏的人工智能发展史。

　　在这本书里，李飞飞回忆了自己从底层移民成长到顶尖科学家的经历。她度过了困顿艰辛的青少年时代，但对科学的热爱不断激励着她持续追寻人生的“北极星”，并最终走进科学的殿堂。

　　当李飞飞和家人努力适应在美国的生活时，恰逢现代人工智能开始不断取得突破。她不断开启新的科学征程，并确立了自己在计算机视觉领域的科学使命，取得了非凡的成就。在这本书里，她详细记录了这些重大时刻的关键细节。同时，李飞飞也对未来人工智能的发展方向提出了自己的判断和警醒，核心就是“以人为本”，让人工智能真正推动人类的发展，而不是成为威胁。

　　这本书既是对重大科学突破幕后的精彩窥探，也是一位女性用好奇心和勇气突破人生困境的故事。它不仅证明了即使是最技术性的学术研究也需要激情，更加表明永不停歇的好奇心可以激发无尽的科技创新。

　　作者简介

　　李飞飞（Fei-FeiLi）

　　美国国家工程院、国家医学院、艺术与科学院三院院士，现代人工智能的关键催化剂ImageNet创建者，斯坦福大学计算机科学系首任红杉讲席教授，斯坦福大学以人为本人工智能研究院（HAI）联合院长，前谷歌副总裁、谷歌云人工智能及机器学习首席科学家，斯坦福大学人工智能实验室第七任主任，《时代》“百大AI影响力人物”。

　　1976年出生于中国北京，长于成都；1992年随家人赴美；1995年被普林斯顿大学物理学专业以全额奖学金录取；2005年在加州理工学院获得电气工程博士学位；2009年在斯坦福大学完成ImageNet的初始版本，包含1500万张图片，涵盖了2.2万个不同类别；2012年在她发起举办的ImageNet大型视觉识别挑战赛第三届比赛上，神经网络算法AlexNet识别准确率高达85%，开启了新一轮深度学习革命。

The World as I See It

"The World I See" is not only Li Feifei's personal history, but also a magnificent, ups and downs in the history of artificial intelligence.

In the book, Li Fei-fei recalls his rise from a lowly immigrant to a top scientist. She spent a difficult teenage years, but the love of science constantly inspired her to continue to pursue the "North star" of life, and finally into the palace of science.

As Li and his family struggled to adjust to life in the United States, it coincided with the beginning of breakthroughs in modern artificial intelligence. She continues to open new scientific journeys and has established her scientific mission in the field of computer vision with remarkable achievements. In this book, she Chronicles the key details of these momentous moments. At the same time, Li Feifei also put forward his own judgment and alarm on the future development direction of artificial intelligence, the core is "people-oriented", so that artificial intelligence can truly promote the development of human beings, rather than becoming a threat.

This book is both a fascinating peek behind the scenes of a major scientific breakthrough and the story of a woman who used her curiosity and courage to overcome life's difficulties. Not only does it demonstrate the need for passion in even the most technical of academic studies, but it also shows how restless curiosity can inspire endless technological innovation.

About the author

Li Fei-FeiLi

He is a member of the National Academy of Engineering, the National Academy of Medicine, and the Academy of Arts and Sciences, the founder of ImageNet, a key catalyst for modern artificial intelligence, the first Sequoia Chair Professor in the Department of Computer Science at Stanford University, the co-dean of the Stanford Institute for Human-Centered Artificial Intelligence (HAI), the former vice president of Google and the chief scientist of Google Cloud Artificial Intelligence and machine Learning. The seventh director of Stanford University's Artificial Intelligence Lab, Time's "Top 100 AI influencers."

Born in 1976 in Beijing, China, grew up in Chengdu; He went to the United States with his family in 1992. He was admitted to Princeton University with a full scholarship in physics in 1995. He received his Ph.D. in Electrical engineering from the California Institute of Technology in 2005. The initial version of ImageNet, completed at Stanford University in 2009, contains 15 million images, covering 22,000 different categories; In 2012, at the third edition of the ImageNet Large-scale Visual Recognition Challenge, which she initiated, AlexNet, a neural network algorithm, achieved an accuracy rate of 85%, opening a new round of deep learning revolution.