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Yann LeCun
The deep-learning pioneer whose convolutional neural networks helped computers recognise handwriting and images.
LeNet · DjVu
- Born
- 8 July 1960
- Birthplace
- France / United States
More people
Yann LeCun
Yann LeCun helped turn trainable neural networks into practical visual-recognition systems. His work links academic research with large-scale industrial applications.
Early life
France
Grew up near Paris and trained as an engineer at ESIEE.
Doctoral work
Studied computer science in Paris before a Toronto postdoctoral position with Geoffrey Hinton.
Career
- 1988
Bell Labs
Joined the laboratory and developed handwriting-recognition systems.
- 2003
New York University
Became a professor at NYU.
- 2013
Industrial AI research
Established Facebook’s artificial-intelligence research laboratory.
- 2025
New venture
Left Meta to co-found Advanced Machine Intelligence Labs.
Contributions
LeNet
Convolutional networks for recognising handwritten characters.
DjVu
Co-developed a format for compressed scanned documents.
Turing Award
Shared with Yoshua Bengio and Geoffrey Hinton.
Beyond research
Open research
Helped establish the International Conference on Learning Representations.
Scientific debate
Has publicly argued for AI systems that learn models of how the world works.
Sources & photo credit
Life, career and references ↗Career and work — sigai.acm.org ↗Photo: Jérémy Barande. CC BY-SA 2.0 · Original image. Cropped and displayed in monochrome.
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