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Yann LeCun

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Yann LeCun
LeCun in 2018
Born(1960-07-08)8 July 1960(age 64)
Soisy-sous-Montmorency,France
Citizenship
Alma mater
Known forDeep learning
Awards
Scientific career
Institutions
ThesisModèles connexionnistes de l'apprentissage(1987)
Doctoral advisorMaurice Milgram
Websiteyann.lecunEdit this at Wikidata

Yann André LeCun[1](/ləˈkʌn/lə-KUN,French:[ləkœ̃];[2]originally spelledLe Cun;[2]born 8 July 1960) is a French-Americancomputer scientistworking primarily in the fields ofmachine learning,computer vision,mobile roboticsandcomputational neuroscience.He is the Silver Professor of theCourant Institute of Mathematical SciencesatNew York Universityand Vice-President, Chief AI Scientist atMeta.[3][4]

He is well known for his work onoptical character recognitionandcomputer visionusingconvolutional neural networks(CNNs).[5][6]He is also one of the main creators of theDjVuimage compression technology (together withLéon Bottouand Patrick Haffner). He co-developed the Lush programming language with Léon Bottou.

In 2018, LeCun,Yoshua Bengio,andGeoffrey Hinton,received theTuring Awardfor their work on deep learning.[7]The three are sometimes referred to as the "Godfathers of AI" and "Godfathers of Deep Learning".[8][9][10][11][12][13]

Early life and education

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LeCun at theUniversity of Minnesota,2014

LeCun was born on 8 July 1960, atSoisy-sous-Montmorencyin the suburbs of Paris. His name was originally spelledLe Cunfrom the oldBretonformLe Cunffand was from the region ofGuingampin northernBrittany."Yann" is the Breton form for "John".[2]

He received a Diplôme d'Ingénieur from theESIEE Parisin 1983 and a PhD in Computer Science fromUniversité Pierre et Marie Curie(todaySorbonne University) in 1987 during which he proposed an early form of theback-propagationlearning algorithm for neural networks.[14]

Career

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Bell Labs

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In 1988, LeCun joined the Adaptive Systems Research Department atAT&T Bell LaboratoriesinHolmdel,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 calledconvolutional neural networks,[15]the "Optimal Brain Damage" regularisation methods,[16]and the Graph Transformer Networks method (similar toconditional random field), which he applied to handwriting recognition and OCR.[17]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.[citation needed]

In 1996, he joinedAT&T Labs-Research as head of the Image Processing Research Department, which was part ofLawrence Rabiner's Speech and Image Processing Research Lab, and worked primarily on theDjVuimage compression technology,[18]used by many websites, notably theInternet Archive,to distribute scanned documents.[citation needed]His collaborators at AT&T includeLéon BottouandVladimir Vapnik.

New York University

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After a brief tenure as a Fellow of the NEC Research Institute (nowNEC-Labs America) inPrinceton, NJ,LeCun joinedNew York University(NYU) in 2003, where he is Jacob T. Schwartz Chaired Professor of Computer Science and Neural Science at theCourant Institute of Mathematical Sciencesand theCenter for Neural Science.He is also a professor at theTandon School of Engineering.[19][20]At NYU, he has worked primarily on Energy-Based Models for supervised and unsupervised learning,[21]feature learning for object recognition inComputer Vision,[22]and mobile robotics.[23]

In 2012, he became the founding director of theNYU Center for Data Science.[24]On 9 December 2013, LeCun became the first director ofMeta AIResearch in New York City,[25][non-primary source needed][26]and stepped down from the NYU-CDS directorship in early 2014.

In 2013, he andYoshua Bengioco-founded theInternational Conference on Learning Representations,which adopted a post-publication open review process he previously advocated on his website. He was the chair and organiser of the "Learning Workshop" held every year between 1986 and 2012 in Snowbird, Utah. He is a member of the Science Advisory Board of theInstitute for Pure and Applied Mathematics[27]atUCLA.He is the Co-Director of the Learning in Machines and Brain research program (formerly Neural Computation & Adaptive Perception) ofCIFAR.[28]

In 2016, he was the visiting professor of computer science on the "Chaire Annuelle Informatique et Sciences Numériques" atCollège de Francein Paris, where he presented the "leçon inaugurale" (inaugural lecture).[29]In 2023, he was named as the inaugural Jacob T. Schwartz Chaired Professor in Computer Science at NYU's Courant Institute.[30]LeCun is also a scientific advisor to French research group Kyutai which is being funded byXavier Niel,Rodolphe Saadé,Eric Schmidt,and others.[31]

Honours and awards

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LeCun is a member of the USNational Academy of Sciences,[32]National Academy of Engineeringand the FrenchAcadémie des Sciences.

He has received honorary doctorates fromIPNin Mexico City[33]in 2016, fromEPFL[34][35]in 2018, fromUniversité Côte d'Azurin 2021,[36]from Università di Siena in 2023,[37]and from Hong Kong University of Science and Technology in 2023.

In 2014, he received the IEEE Neural Network Pioneer Award and in 2015, thePAMI Distinguished Researcher Award.[38]

In 2018, LeCun was awarded theIRI Medal,established by the Industrial Research Institute (IRI),[39]and theHarold Pender Award,given by the University of Pennsylvania,[40]

In 2019, he received the Golden Plate Award of theAmerican Academy of Achievement.[41]

In 2022, he received thePrincess of Asturias Awardin the category "Scientific Research", along withYoshua Bengio,Geoffrey HintonandDemis Hassabis.[42]

In 2023, thePresident of Francemade him a Chevalier (Knight) of the FrenchLegion of Honour.[43]

During theWorld Economic Forum(WEF) 2024 inDavos,he received theGlobal Swiss AI Award 2023.[44]

Turing Award

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In March 2019, LeCun won the 2018Turing award,sharing it withYoshua BengioandGeoffrey Hinton.[45]

References

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  1. ^"Version électronique authentifiée publiée au JO n° 0001 du 01/01/2020 | Legifrance".legifrance.gouv.fr.Retrieved4 January2020.
  2. ^abc"Fun Stuff".yann.lecun.Retrieved20 March2020.
  3. ^"Artificial-intelligence pioneers win $1 million Turing Award".The Washington Post.
  4. ^Metz, Cade (27 March 2019)."Turing Award Won by 3 Pioneers in Artificial Intelligence".The New York Times.Archivedfrom the original on 16 June 2021.
  5. ^"Convolutional Nets and CIFAR-10: An Interview with Yann LeCun".No Free Hunch.22 December 2014.
  6. ^LeCun, Yann;Bottou, Léon;Bengio, Yoshua;Haffner, Patrick (1998)."Gradient-based learning applied to document recognition"(PDF).Proceedings of the IEEE.86(11): 2278–2324.doi:10.1109/5.726791.S2CID14542261.
  7. ^"Fathers of the Deep Learning Revolution Receive ACM A.M. Turing Award".Association for Computing Machinery.New York. 27 March 2019.Retrieved27 March2019.
  8. ^Vincent, James (27 March 2019)."'Godfathers of AI' honored with Turing Award, the Nobel Prize of computing ".The Verge.Retrieved20 March2020.
  9. ^Ranosa, Ted (29 March 2019)."Godfathers Of AI Win This Year's Turing Award And $1 Million".Tech Times.Retrieved20 March2020.
  10. ^Reporters, Telegraph (27 March 2019)."Nobel prize of tech awarded to 'godfathers of AI'".The Telegraph.Retrieved20 March2020.
  11. ^Shead, Sam."The 3 'Godfathers' Of AI Have Won The Prestigious $1M Turing Prize".Forbes.Retrieved20 March2020.
  12. ^Ray, Tiernan."Deep learning godfathers Bengio, Hinton, and LeCun say the field can fix its flaws".ZDNet.Retrieved20 March2020.
  13. ^Kahn, Jeremy (27 March 2019)."Three 'Godfathers of Deep Learning' Selected for Turing Award".bloomberg.Retrieved10 November2020.
  14. ^Y. LeCun: Une procédure d'apprentissage pour réseau a seuil asymmetrique (a Learning Scheme for Asymmetric Threshold Networks), Proceedings of Cognitiva 85, 599–604, Paris, France, 1985.
  15. ^Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard and L. D. Jackel:Backpropagation Applied to Handwritten Zip Code Recognition,Neural Computation, 1(4):541–551, Winter 1989.
  16. ^Yann LeCun, J. S. Denker,S. Solla,R. E. Howard and L. D. Jackel:Optimal Brain Damage,in Touretzky, David (Eds), Advances in Neural Information Processing Systems 2 (NIPS*89),Morgan Kaufmann,Denver, CO, 1990.
  17. ^Yann LeCun, Léon Bottou, Yoshua Bengio and Patrick Haffner:Gradient Based Learning Applied to Document Recognition,Proceedings of IEEE, 86(11):2278–2324, 1998.
  18. ^Léon Bottou, Patrick Haffner, Paul G. Howard, Patrice Simard, Yoshua Bengio and Yann LeCun: High Quality Document Image Compression with DjVu, Journal of Electronic Imaging, 7(3):410–425, 1998.
  19. ^"People – Electrical and Computer Engineering".Polytechnic Institute of New York University.Retrieved13 March2013.
  20. ^"Yann LeCun's Home Page".
  21. ^Yann LeCun, Sumit Chopra, Raia Hadsell, Ranzato Marc'Aurelio and Fu-Jie Huang: A Tutorial on Energy-Based Learning, in Bakir, G. and Hofman, T. and Schölkopf, B. and Smola, A. and Taskar, B. (Eds), Predicting Structured Data,MIT Press,2006.
  22. ^Kevin Jarrett, Koray Kavukcuoglu, Marc'Aurelio Ranzato and Yann LeCun: What is the Best Multi-Stage Architecture for Object Recognition?, Proc. International Conference on Computer Vision (ICCV'09), IEEE, 2009
  23. ^Raia Hadsell, Pierre Sermanet, Marco Scoffier, Ayse Erkan, Koray Kavackuoglu, Urs Muller and Yann LeCun: Learning Long-Range Vision for Autonomous Off-Road Driving, Journal of Field Robotics, 26(2):120–144, February 2009.
  24. ^"Center for Data Science – New York University".
  25. ^"Yann LeCun"– via Facebook.
  26. ^"DIRECTOR OF AI RESEARCH".2016.Archivedfrom the original on 27 April 2017 – via Facebook.
  27. ^http:// ipam.ucla.edu/programs/gss2012/Institute for Pure and Applied Mathematics
  28. ^"Neural Computation & Adaptive Perception Advisory Committee Yann LeCun".CIFAR.Retrieved16 December2013.
  29. ^"L'apprentissage profond: une révolution en intelligence artificielle".college-de-france.fr.28 August 2015.Retrieved1 March2022.
  30. ^"Yann LeCun Announced as Inaugural Jacob T. Schwartz Chair".CIMS.Retrieved10 December2023.
  31. ^Dillet, Romain (17 November 2023)."Kyutai is a French AI research lab with a $330 million budget that will make everything open source".TechCrunch.Retrieved16 June2024.
  32. ^"News from the National Academy of Sciences".26 April 2021.Retrieved4 July2021.Newly elected members and their affiliations at the time of election are:… LeCun, Yann; vice president and chief artificial intelligence scientist, Facebook; and Silver Professor of Computer Science, Data Science, Neural Science, and Electrical and Computer Engineering, New York University, New York City,entry in member directory:"Member Directory".National Academy of Sciences.Retrieved4 July2021.
  33. ^"Primera generación de Doctorados Honoris Causa en el IPN".Retrieved11 October2016.
  34. ^Aubort, Sarah (10 August 2018)."EPFL celebrates 1,043 new Master's graduates".Retrieved27 January2019.
  35. ^"Yann LeCun @EPFL –" Self-supervised learning: could machines learn like humans? "".Archivedfrom the original on 21 December 2021.Retrieved27 January2019– via YouTube.
  36. ^"YANN LECUN, DOCTEUR HONORIS CAUSA D'UNIVERSITÉ CÔTE D'AZUR".
  37. ^"Laurea ad honorem a Yann LeCun | Università degli Studi di Siena".unisi.it.
  38. ^"PAMI Distinguished Researcher Award".IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence.24 August 2023.Retrieved15 February2024.
  39. ^"Awards - Best Practices in Digital Innovation".Innovation Research Interchange.
  40. ^"2018 Harold Pender Award and Lecture: Yann LeCun".Retrieved22 May2019.
  41. ^"Golden Plate Awardees of the American Academy of Achievement".achievement.org.American Academy of Achievement.
  42. ^IT, Developed with webControl CMS by Intermark."Geoffrey Hinton, Yann LeCun, Yoshua Bengio and Demis Hassabis - Laureates - Princess of Asturias Awards".The Princess of Asturias Foundation.
  43. ^"Yann LeCun on LinkedIn: Today, I was made a Chevalier de la Légion d'Honneur by President Macron… | 590 comments".linkedin.
  44. ^Yann LeCun wins the Global Swiss AI Award 2023.zhaw.ch, 18 January 2024. Retrieved 22 January 2024.
  45. ^Metz, Cade (27 March 2019)."Three Pioneers in Artificial Intelligence Win Turing Award".The New York Times.ISSN0362-4331.Retrieved27 March2019.
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