Yann LeCun

Yann LeCun is a French-American computer scientist and a leading pioneer of deep learning. He earned a Ph.D. from Université Pierre-et-Marie-Curie in Paris and has been a professor at New York University. He is best known for developing convolutional neural-network methods and LeNet-5, an early system for recognizing handwritten digits that helped establish modern computer vision. He shared the 2018 ACM A.M. Turing Award with Geoffrey Hinton and Yoshua Bengio for foundational contributions to deep learning. His most recently established roles are **Chief AI Scientist at Meta** and **Silver Professor at NYU**, where he has continued research on machine learning, computer vision, and self-supervised learning.

Yann LeCun is a **French-American computer scientist** known as one of the pioneers of **deep learning** and **convolutional neural networks (CNNs)**.[2][7] He was born in France, earned engineering and PhD degrees in Paris, and moved to the United States in 1988 to work at Bell Labs, where he led image processing research.[2][7] His current roles include **Executive Chairman of AMI Labs** and **Jacob T. Schwartz Professor at New York University**.[8][18] He was also Meta’s **chief AI scientist** and head of its AI research organization, FAIR, until leaving in 2025/early 2026 according to recent sources.[3][13][15] LeCun’s most notable work includes the **LeNet** CNNs for optical character recognition and early foundational research that helped make deep neural networks central to modern computing.[1][2][3] He shared the **2018 ACM Turing Award** with Geoffrey Hinton and Yoshua Bengio for those deep learning breakthroughs.[2][3][7]

# Yann LeCun **Background:** Yann LeCun is a French computer scientist born in 1960. He earned his PhD in computer science from the University of Paris in 1987. **Current Role:** He is Chief AI Scientist at Meta (Facebook), a position he has held since 2018. **Notable Work:** - **Convolutional Neural Networks (CNNs)**: His most significant contribution. He pioneered CNNs in the late 1980s-1990s, which became foundational to modern deep learning and computer vision. - **Handwritten digit recognition**: Early practical applications of his neural network research. - **Deep learning advancement**: Contributed substantially to the resurgence of neural networks in the 2010s. **Recognition:** He won the Turing Award in 2018 (shared with Yoshua Bengio and Geoffrey Hinton) for conceptual and engineering breakthroughs in deep learning. **Other roles:** He has held academic positions at Bell Labs and NYU, where he directed the AI Now Institute. LeCun is considered one of the three "godfathers of AI" (along with Bengio and Hinton) for their foundational work in deep learning.

**Yann LeCun** is a prominent French-American computer scientist considered one of the founding fathers of deep learning. * **Background:** Born in France in 1960, LeCun received his Ph.D. in Computer Science from Université Pierre et Marie Curie (Paris) in 1987. He completed postdoctoral research with Geoffrey Hinton at the University of Toronto before working at AT&T Bell Laboratories and NEC Research Institute. He joined New York University (NYU) in 2003 as a professor. * **Current Role:** He is the Chief AI Scientist at Meta (formerly Facebook), a position he has held since 2013, while also serving as a Silver Professor at NYU's Courant Institute of Mathematical Sciences. * **Notable Work:** LeCun is best known for inventing **Convolutional Neural Networks (CNNs)**, a foundational architecture for computer vision, through his work on recognizing handwritten zip codes at Bell Labs in the late 1980s and 1990s (known as LeNet). For these contributions, he, along with Geoffrey Hinton and Yoshua Bengio, was awarded the **2018 Turing Award** (often considered the "Nobel Prize of Computing"). In recent years, his research has focused on self-supervised learning, energy-based models, and architectures aimed at achieving human-level machine intelligence.

Yann LeCun is a French-American computer scientist born in 1960. He earned a PhD in computer science from Université Pierre et Marie Curie in 1987. **Current roles**: Chief AI Scientist at Meta (since 2013) and Silver Professor of Data Science, Computer Science, Neural Science, and Electrical Engineering at New York University. **Notable work**: Pioneer of convolutional neural networks (e.g., LeNet architecture in the 1990s); key contributions to deep learning, backpropagation applications, and computer vision. Co-recipient of the 2018 Turing Award with Geoffrey Hinton and Yoshua Bengio.