He is well known for his work on optical character recognition and computer vision using convolutional neural networks (CNN), and is a founding father of convolutional nets. 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. LeCun received the 2018 Turing Award (often referred to as the "Nobel Prize of Computing"), together with Yoshua Bengio and Geoffrey Hinton, for their work on deep learning.
Yann joined Facebook in December 2013 and currently serves as Chief AI Scientist at Facebook AI Research (FAIR). In addition, he works part-time as a Silver Professor at New York University, where he is mostly connected to the Courant Institute of Mathematical Sciences and the NYU Center for Data Science.
In 1987, he graduated with a PhD in computer science from Université Pierre et Marie Curie (Paris) and an EE diploma from Ecole Supérieure d’Ingénieurs en Electrotechnique et Electronique (ESIEE Paris). In 1988, following a postdoctoral fellowship at the University of Toronto, he began working at AT&T Bell Laboratories in Holmdel, NJ. After serving for a short time as a Fellow of the NEC Research Institute in Princeton, he was appointed director of the Image Processing Research Department at AT&T Labs-Research in 1996. In 2003, he became a professor at NYU. He served as the NYU Center for Data Science’s inaugural director from 2012 to 2014. Yann and Yoshua Bengio co-direct the CIFAR program on neural computation and adaptive perception.
In addition to being a fellow of AAAI, a member of the US National Academy of Engineering, and the recipient of honorary doctorates from IPN, Mexico, and EPFL, he is also a member of the US National Academy of Engineering, the University of Pennsylvania Pender Award, the IEEE Neural Network Pioneer Award (2014), the IEEE Pattern Analysis and Machine Intelligence Distinguished Researcher Award (2015), and the Lovie Award for Lifetime Achievement (2016).
2023
AI Alliance launches as an international community of leading technology developers, researchers, and adopters collaborating together to advance open, safe, responsible AI. The AI Alliance is an alliance of top businesses, startups, academic institutions, research centers, and governmental bodies that supports open innovation and open science in the field of artificial intelligence. The AI Alliance is an international, action-oriented organization that aims to generate possibilities globally through a wide range of institutions that can influence AI’s progress to better meet the requirements and complexity of our communities.
The AI Alliance aims to ensure scientific rigor, trust, safety, security, diversity, and economic competitiveness while promoting an open community and empowering developers and researchers to accelerate responsible AI innovation. The team will combine resources and expertise to address safety concerns while offering a platform for sharing and developing solutions that meet the needs of researchers, developers, and adopters worldwide by bringing together top developers, scientists, academic institutions, businesses, and other innovators.
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