Yann LeCun Biography, Age, Height, Wife, Net Worth, Family

Publish date: 2024-04-28

Age, Biography and Wiki

Yann LeCun was born on 8 July, 1960 in Soisy-sous-Montmorency, France. Discover Yann LeCun's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is He in this year and how He spends money? Also learn how He earned most of networth at the age of 63 years old?

Popular AsN/A
OccupationN/A
Age63 years old
Zodiac SignCancer
Born8 July, 1960
Birthday8 July
BirthplaceSoisy-sous-Montmorency, France
NationalityFrance

We recommend you to check the complete list of Famous People born on 8 July. He is a member of famous with the age 63 years old group.

Yann LeCun Height, Weight & Measurements

At 63 years old, Yann LeCun height not available right now. We will update Yann LeCun's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.

Physical Status
HeightNot Available
WeightNot Available
Body MeasurementsNot Available
Eye ColorNot Available
Hair ColorNot Available

Dating & Relationship status

He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.

Family
ParentsNot Available
WifeNot Available
SiblingNot Available
ChildrenNot Available

Yann LeCun Net Worth

His net worth has been growing significantly in 2022-2023. So, how much is Yann LeCun worth at the age of 63 years old? Yann LeCun’s income source is mostly from being a successful . He is from France. We have estimated Yann LeCun's net worth , money, salary, income, and assets.

Net Worth in 2023$1 Million - $5 Million
Salary in 2023Under Review
Net Worth in 2022Pending
Salary in 2022Under Review
HouseNot Available
CarsNot Available
Source of Income

Yann LeCun Social Network

Timeline

In March 2019, LeCun won the Turing award, sharing it with Yoshua Bengio and Geoffrey Hinton.

He is co-recipient of the 2018 ACM A.M. Turing Award for his work in deep learning.

In 2016, he was the visiting professor of computer science on the "Chaire Annuelle Informatique et Sciences Numériques" at Collège de France in Paris. His "leçon inaugurale" (inaugural lecture) was an important event in 2016 Paris intellectual life.

In 2016, he was awarded Doctor Honoris Causa by the IPN in Mexico City. In 2017, LeCun declined an invitation to lecture at the King Abdullah University of Science and Technology in Saudi Arabia because he believed he would be considered a terrorist in the country in view of his atheism. In September 2018, he received the Harold Pender Award given by the University of Pennsylvania. In October 2018, he received a Doctor Honoris Causa degree from EPFL.

LeCun is a member of the US National Academy of Engineering, the recipient of the 2014 IEEE Neural Network Pioneer Award and the 2015 PAMI Distinguished Researcher Award.

In 2012, he became the founding director of the NYU Center for Data Science. On December 9, 2013, LeCun became the first director of Facebook AI Research in New York City, and stepped down from the NYU-CDS directorship in early 2014.

In 2013, he and Yoshua Bengio co-founded the International Conference on Learning Representations, which adopted a post-publication open review process he previously advocated on his website. He was the chair and organizer of the "Learning Workshop" held every year between 1986 and 2012 in Snowbird, Utah. He is a member of the Science Advisory Board of the Institute for Pure and Applied Mathematics at UCLA. He is the Co-Director of the Learning in Machines and Brain research program (formerly Neural Computation & Adaptive Perception) of CIFAR.

After a brief tenure as a Fellow of the NEC Research Institute (now NEC-Labs America) in Princeton, NJ, he joined New York University (NYU) in 2003, where he is Silver Professor of Computer Science Neural Science at the Courant Institute of Mathematical Science and the Center for Neural Science. He is also a professor at the Tandon School of Engineering. At NYU, he has worked primarily on Energy-Based Models for supervised and unsupervised learning, feature learning for object recognition in Computer Vision, and mobile robotics.

In 1996, he joined AT&T Labs-Research as head of the Image Processing Research Department, which was part of Lawrence Rabiner's Speech and Image Processing Research Lab, and worked primarily on the DjVu image compression technology, used by many websites, notably the Internet Archive, to distribute scanned documents. His collaborators at AT&T include Léon Bottou and Vladimir Vapnik.

In 1988, he joined the Adaptive Systems Research Department at AT&T Bell Laboratories in Holmdel, New Jersey, United States, headed by Lawrence D. Jackel, where he developed a number of new machine learning methods, such as a biologically inspired model of image recognition called Convolutional Neural Networks, the "Optimal Brain Damage" regularization methods, and the Graph Transformer Networks method (similar to conditional random field), which he applied to handwriting recognition and OCR. The bank check recognition system that he helped develop was widely deployed by NCR and other companies, reading over 10% of all the checks in the US in the late 1990s and early 2000s.

He was a postdoctoral research associate in Geoffrey Hinton's lab at the University of Toronto from 1987 to 1988.

Yann André LeCun (/l ə ˈ k ʌ n / French pronunciation: ​[ləkɛ̃] ; originally spelled Le Cun; born July 8, 1960) 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 Facebook.

Yann LeCun was born at Soisy-sous-Montmorency in the suburbs of Paris in 1960. His name was originally spelled Le Cun from the old Breton form Le Cunff meaning literately "nice guy" and was from the region of Guingamp in northern Brittany. He received a Diplôme d'Ingénieur from the ESIEE Paris in 1983, and a PhD in Computer Science from Université Pierre et Marie Curie in 1987 during which he proposed an early form of the back-propagation learning algorithm for neural networks.

ncG1vNJzZmivp6x7pLHLnpmsmZeaxKq3yGeaqKVfrq6vuoylnJytng%3D%3D