Yann André Le Cun is a French-American computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience. He is the Silver Professor of the Courant Institute of Mathematical Sciences at New York University and Vice President, Chief AI Scientist at Meta.
He is well known for his work on optical character recognition and computer vision using convolutional neural networks (CNNs). He is also one of the main creators of the DjVu image compression technology (together with Léon Bottou and Patrick Haffner). He co-developed the Lush programming language with Léon Bottou.
In 2018, LeCun, Yoshua Bengio, and Geoffrey Hinton, received the Turing Award for their work on deep learning. The three are sometimes referred to as the “Godfathers of AI” and “Godfathers of Deep Learning”.
Source: Wikipedia
NVIDIA Developer – 10/04/2025 (53:14)
https://www.youtube.com/watch?v=eyrDM3A_YFc
As artificial intelligence continues to reshape the world, the intersection of deep learning and high performance computing becomes increasingly crucial. This talk brings together Yann LeCun, a pioneer in deep learning and the chief AI scientist at Meta, and Bill Dally, a leading computer architect and chief scientist at NVIDIA, to explore the future of AI models, hardware accelerators, and the evolving computational landscape.
The discussion covers:
- The next breakthroughs in deep learning and AI architectures
- How hardware innovation drives AI efficiency and scalability
- Challenges in training large-scale models and real-time AI inference
Speakers:
- Bill Dally, Chief Scientist and SVP of Research, NVIDIA
- Yann LeCun, Chief AI Scientist at Meta, Professor at New York Universit
OnAir Post: Yann LeCun
