Fei-Fei Li
In plain wordsA Chinese-American computer scientist whose ImageNet project, millions of hand-labeled photos, gave deep learning the proving ground that launched its boom; she now champions 'human-centered' AI.
Chinese-born American computer scientist at Stanford University. As a young professor at Princeton and then Stanford she led the creation of ImageNetImageNet, prop. n.: A huge collection of more than 14 million labeled photos, sorted into object categories, whose yearly recognition contest from 2010 to 2017 sparked the deep learning boom. (2009), millions of images labeled into thousands of categories through crowdsourcingcrowdsourcing, n.: Getting many people over the internet to each do a small piece of a big job, such as labeling pictures for a few cents apiece, with anyone free to join in., at a time when most researchers prized algorithms over data; the ImageNet Large Scale Visual Recognition Challenge (2010–2017) became the benchmark on which AlexNetAlexNet, prop. n.: The neural network that won a major image-recognition contest by a huge margin in 2012, convincing researchers and companies that deep learning trained on graphics chips was the way forward. demonstrated deep learningdeep learning, n.: Machine learning done with neural networks built from many stacked layers: raw data such as pixels, sound or text goes in at one end, and each layer turns what it receives into something more abstract. in 2012. She directed the Stanford AI Lab (2013–2018), was chief scientist for AI at Google Cloud (2017–2018), co-founded the nonprofit AI4ALL to broaden participation in AI, and in 2019 co-founded Stanford's Institute for Human-Centered Artificial Intelligence (HAI). In 2024 she co-founded World Labs, a company building world modelsworld model, n.: An AI's internal simulation of how its world works, which lets it predict what will happen next — especially in response to its own actions — and so plan, imagine or practice without acting for real. with 'spatial intelligence' that generate and reason about 3D environments. Her memoir is 'The Worlds I See' (2023). Queen Elizabeth Prize for Engineering 2025.
Related
- ImageNetImageNet, prop. n.: A huge collection of more than 14 million labeled photos, sorted into object categories, whose yearly recognition contest from 2010 to 2017 sparked the deep learning boom.
- AlexNetAlexNet, prop. n.: The neural network that won a major image-recognition contest by a huge margin in 2012, convincing researchers and companies that deep learning trained on graphics chips was the way forward.
- computer visioncomputer vision, n.: The part of AI that lets computers make sense of images and video: recognizing faces, reading signs, spotting tumors on scans or judging how far away a car is.
- datasetdataset, n.: An organized collection of examples gathered for a purpose — such as photos with their captions, or questions with answers — used to teach or test an AI system.
- world modelworld model, n.: An AI's internal simulation of how its world works, which lets it predict what will happen next — especially in response to its own actions — and so plan, imagine or practice without acting for real.
- crowdsourcingcrowdsourcing, n.: Getting many people over the internet to each do a small piece of a big job, such as labeling pictures for a few cents apiece, with anyone free to join in.
Sources
- Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K. & Fei-Fei, L. (2009). ImageNet: A Large-Scale Hierarchical Image Database. CVPR 2009.
Mentioned in
Andrej KarpathyAndrej Karpathy, prop. n.: A Slovak-Canadian AI researcher and teacher who co-founded OpenAI, led Tesla's self-driving vision team, and coined popular phrases such as 'vibe coding'., godfathers of AIgodfathers of AI, phr.: A media nickname for three scientists — Geoffrey Hinton, Yoshua Bengio and Yann LeCun — whose decades of work on neural networks underpins modern AI. They shared computing's top prize in 2019., ImageNetImageNet, prop. n.: A huge collection of more than 14 million labeled photos, sorted into object categories, whose yearly recognition contest from 2010 to 2017 sparked the deep learning boom., Stanford HAIStanford HAI, prop. n.: An artificial intelligence institute at Stanford University that funds research, advises policymakers and publishes the AI Index, a widely cited yearly report on the state of AI., Timnit GebruTimnit Gebru, prop. n.: An Ethiopian-born American computer scientist who exposed racial and gender bias in AI systems, co-wrote the 'stochastic parrots' paper, and founded an independent AI research institute., National AI Research ResourceNational AI Research Resource, prop. n.: A US program to give university researchers, students and small companies shared access to the costly computers, data and AI models that are otherwise mostly available to big technology firms., spatial intelligencespatial intelligence, n.: The ability to understand, imagine and act in three-dimensional space and the physical world — effortless for people, and treated by many AI researchers as the next big goal after language.