Yann LeCun is read about 2,134 times a day.
A typical day, 30 days to 9 October 2026
The middle day of the days counted, so one week of news cannot move it. The line under it is the last 77 days, one point a day.
Something wrong?He taught machines to see. His convolutional neural networks gave computers the ability to recognize handwriting, faces, objects - the architecture that made image recognition work and became the backbone of modern computer vision.
A life in dates
Photos 8
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Yann LeCun - 2025 (cropped).jpg?width=1200)
Conférence IP Paris "AI, Science and Society" à l'Ecole polytechnique (54320377276)_(cropped).jpg?width=1200)
Laura Chaubard & Yann Le Cun - 2024 (53814052697) (cropped).jpg?width=1200)
Laura Chaubard & Yann Le Cun - 2024 (53814052697).jpg?width=1200)
Yann LeCun (29146901108).jpg?width=1200)
Yann LeCun (41208595340).jpg?width=1200)
Yann LeCun - 2018 (cropped)
Yann LeCun at the University of MinnesotaIn their own words 10
, AI is going to bring a new renaissance for humanity, a new form of enlightenment, if you want, because AI is going to amplify everybody's intelligence.
The direction of history is that the more data we get, the more our methods rely on learning. Ultimately, the task use learning end to end.
[AI progres is very dependent on Moore's law.] The one thing that allowed big progress in computer vision with ConvNets is the availability of GPUs with performance over 1 Tflops.
Awards
About this person
Born in France on 8 July 1960, Yann LeCun built his career at the intersection of pattern recognition and neural computation. His early work on optical character recognition using convolutional neural networks laid the groundwork for how machines process visual information, and he co-created the DjVu image compression technology alongside Léon Bottou and Patrick Haffner. He became the Jacob T. Schwartz Professor of Computer Science at NYU's Courant Institute and spent years as Chief AI Scientist at Meta Platforms before co-founding Advanced Machine Intelligence Labs in December 2025. In 2018, he shared the Turing Award with Yoshua Bengio and Geoffrey Hinton for their collective work on deep learning - the trio sometimes called the "Godfathers of AI." The networks he designed decades ago now power the visual systems behind much of what we call artificial intelligence.
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