معرفی
Yann LeCun is a Silver Professor at New York University (NYU) and Chief AI Scientist at Meta. He holds the Jacob T. Schwartz Chair in Computer Science at NYU's Courant Institute of Mathematical Sciences, and has affiliations with the Center for Data Science, Center for Neural Science, and the Tandon School of Engineering (Electrical and Computer Engineering). LeCun is a leading figure in artificial intelligence, known for pioneering work in deep learning, convolutional neural networks (e.g., LeNet), and self-supervised learning. His research focuses on machine learning, computer vision, autonomous robotics, and computational neuroscience.
Education:
- Ph.D., Computer Science, Université Pierre et Marie Curie, France, 1987.
- DEA, Artificial Intelligence and Pattern Recognition, Université Pierre et Marie Curie, France, 1984.
- Diplôme d'Ingénieur, Electrical Engineering, École Supérieure d'Ingénieurs en Électrotechnique et Électronique, France, 1983.
Research Interests: Machine learning, computer vision, robotics, computational neuroscience, and foundational AI research. He emphasizes the importance of self-supervised learning, world models for autonomous intelligence, and open-source AI development. His work bridges theoretical advancements with practical applications in healthcare, climate modeling, and robotics.
Awards & Honors:
- ACM Turing Award (2018, shared with Geoffrey Hinton and Yoshua Bengio).
- Queen Elizabeth Prize for Engineering (2025).
- Member of the National Academy of Sciences and National Academy of Engineering.
- Multiple honorary doctorates and fellowships from institutions worldwide.
Advising & Grants: LeCun has advised numerous PhD students and postdocs, many of whom have gone on to leadership roles in academia and industry. His research is supported by grants from Meta FAIR, NYU, and collaborations with institutions globally. He emphasizes mentorship and fostering interdisciplinary teams.
Labs & Teams: Leads the CILVR Lab (Computational Intelligence, Learning, Vision, Robotics) at NYU and collaborates with Meta's FAIR (Fundamental AI Research). These groups focus on advancing AI through projects like JEPA (Joint Embedding Predictive Architecture) and World Models.
