Fei-Fei Li

Co-director, Stanford HAI and CEO at World Labs

Prof (CS @Stanford), Co-Director @StanfordHAI, Cofounder/CEO @theworldlabs, #AI #SpatialIntelligence #GenAI #computervision #robotics #AI-healthcare

Stanford, CA, U.S.A.

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Posts tracked from 11/20/2025 to 3/11/2026

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586,918

Positive Sentiment

75%

27 positive of 36

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About

Fei-Fei Li is a computer science professor at Stanford University and co-director of Stanford HAI, where her research focuses on computer vision, machine learning, and spatial intelligence. As CEO of World Labs, she is advancing spatial intelligence as a foundational capability for next-generation AI systems. Her work emphasizes human-centered and responsible AI development, with particular applications in healthcare and robotics, while advocating for ethical considerations in AI safety and governance.

Social Reach586.9K total

586.9K

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Most Engaging Post

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The dream of robots helping people live and work better in the physical world begins with helping robots to become more spatially intelligent by learning from the infinitely diverse and intricate envi

The post discusses the potential of robots to improve human life by enhancing their spatial intelligence.

1,2301/29/2026View

Posts by Platform0.3 posts/week

Fei-Fei Li - Cofounder/CEO, World Labs; AI Researcher & ...

Summary of Fei-Fei Li's multiple roles including CEO of World Labs, Stanford professor, and AI researcher.

ai researchspatial intelligence

Fei-Fei Li

Overview of Fei-Fei Li's contributions to computer science, particularly the creation of ImageNet dataset.

computer visionai research

Fei-Fei Li (@drfeifei) / Posts / X

Social media profile of Fei-Fei Li highlighting her positions at Stanford, World Labs, and research interests.

ai researchspatial intelligence

Interview With Fei-Fei Li

Interview introduction highlighting Fei-Fei Li's pioneering work in computer vision and invention of ImageNet.

computer visionimagenet

Fei-Fei Li - AI for Good Global Summit - ITU

Overview of Fei-Fei Li's research interests including cognitively-inspired AI, machine learning, and AI for healthcare applications.

computer visionhealthcare ai

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