Fei-Fei Li
李飞飞
Pioneer of Computer Vision and ImageNet
“If we want machines to think, we need to teach them to see.”
“如果我们想让机器思考，就需要教它们看见。”
— TED Talk, 2015
Biography
Fei-Fei Li is a computer scientist who transformed the field of artificial intelligence through ImageNet, a massive visual database that catalyzed the deep learning revolution. Her work demonstrated that AI systems need large, diverse datasets to learn effectively. As a professor at Stanford and former chief scientist at Google Cloud, she advocates for human-centered AI and diversity in technology.
李飞飞是一位计算机科学家，通过ImageNet——一个催化深度学习革命的大型视觉数据库——改变了人工智能领域。她的工作表明，AI系统需要大规模、多样化的数据集来有效学习。作为斯坦福大学教授和前谷歌云首席科学家，她倡导以人为本的AI和技术多样性。
Key Achievements
Created ImageNet, catalyzing the deep learning revolution
创建ImageNet，催化深度学习革命
Stanford professor and AI research leader
斯坦福大学教授和AI研究领导者
Advocates for human-centered AI
倡导以人为本的AI
References & Citations
- Wikipedia: Fei-Fei Li — https://en.wikipedia.org/wiki/Fei-Fei_Li
- Stanford HAI — https://hai.stanford.edu/
- Deng et al. ImageNet: A Large-Scale Hierarchical Image Database. CVPR, 2009.
