Search results
Yann André LeCun (/ l ə ˈ k ʌ n / lə-KUN, French:; originally spelled Le Cun; born 8 July 1960) is a French-American computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience.
Articles 1–20. Chief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York University - Cited by 360,668 - AI - machine learning - computer...
Yann LeCun, Director of AI Research, Facebook. Founding Director of the NYU Center for Data Science. Silver Professor of Computer Science, Neural Science , and Electrical and Computer Engineering, The Courant Institute of Mathematical Sciences, Center for Neural Science, and. Electrical and Computer Engineering Department, NYU School of ...
Feb 13, 2024 · Yann LeCun discusses the barriers to achieving AGI, Meta’s open-source approach, and AI risk.
May 6, 2024 · Yann is Chief AI Scientist for Facebook AI Research (FAIR), joining Facebook in December 2013. He is also a Silver Professor at New York University on a part time basis, mainly affiliated with the NYU Center for Data Science, and the Courant Institute of Mathematical Sciences.
Yann LeCun is Director of AI Research at Facebook, and Silver Professor of Data Science, Computer Science, Neural Science, and Electrical Engineering at New York University, affiliated with the NYU Center for Data Science, the Courant Institute of Mathematical Science, the Center for Neural Science, and the Electrical and Computer Engineering ...
Yann LeCun's research on neural networks and computer vision laid the groundwork for much of the technology that's becoming integral to our lives, from self-driving cars to facial recognition. He is VP and chief AI scientist at Facebook and was the founding director of Facebook AI Research and the NYU Center for Data Science.
Yann LeCun is Director of AI Research at Facebook and Silver Professor of Computer Science at the Courant Institute of Mathematical Sciences. He is the founding director of the NYU Center for Data Science, and holds appointments of Professor of Neural Science with the Center for Neural Science, and Professor of Electrical and Computer ...
Feb 23, 2022 · Meta's Chief AI Scientist Yann LeCun sketches how the ability to learn “world models” – internal models of how the world works – may be the key to building human-level AI.
The final form of the backpropagation algorithm has had a profound impact on the fields of Machine Learning, and was the primary cause for the surge of interest in Neural Networks in the mid 80's. Subsequently, I refined the backpropagation algorithm, and proposed a consistent theoretical framework for its analysis.
