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Marcus Hutter : Solomonoff induction |
Marcus Hutter : Marcus Hutter (2002). "The Fastest and Shortest Algorithm for All Well-Defined Problems". International Journal of Foundations of Computer Science. 13 (3). World Scientific: 431–443. arXiv:cs/0206022. doi:10.1142/S0129054102001199. S2CID 5496821. Marcus Hutter (2005). Universal Artificial Intelligence: ... |
Aapo Hyvärinen : Aapo Johannes Hyvärinen (born 1970 in Helsinki) is a Finnish professor of computer science at the University of Helsinki and known for his research in independent component analysis. |
Aapo Hyvärinen : Hyvärinen was born in Helsinki and studied mathematics at the University of Helsinki and received his Doctor of Technology in information science in 1997 at the Helsinki University of Technology under the supervision of Erkki Oja. His doctoral thesis, titled "Independent component analysis: A neural ne... |
Aapo Hyvärinen : Hyvärinen, Aapo; Karhunen, Juha; Oja, Erkki (2001). Independent component analysis. New York: J. Wiley. ISBN 0-471-46419-8. OCLC 53228828. Hyvärinen, Aapo; Hurri, Jarmo; Hoyer, Patrik O. (2009). Natural image statistics : a probabilistic approach to early computational vision. London: Springer-Verlag. ... |
Alex James (professor) : Alex James is an Indian scientist who is a professor of AI hardware at School of Electronic Systems and Automation, and Dean at Digital University Kerala (IIITM-K). He is the professor in charge of Maker Village, Kochi, Chief Investigator of the centre for Intelligent IoT Sensors, and India Inn... |
Alex James (professor) : James earned his Ph.D. degree from the Queensland Micro and Nanotechnology Centre, Griffith University, Brisbane, Australia. Since 2009, he has been working as a faculty member at different universities in Australia and India. He was a Member of IET Vision and Imaging Network, and is a Member o... |
Alex James (professor) : IIITM-K has achieved a breakthrough in developing Analogue Integrated circuit for implementing Generative Adversarial Networks (GAN) in a joint research project with Analogue Circuits and Image Sensors Lab, Siegen university and Fraunhofer, Germany, and Centre for Excellence in Artificial gener... |
Alex James (professor) : James is a member of IEEE CASS Technical committee on Nonlinear Circuits and Systems, IEEE CASS Technical committee on Cellular Nanoscale networks and Memristor Array Computing, IEEE Consumer Technology Society Technical Committee on Quantum in Consumer Technology (QCT), Technical Committee on ... |
Alex James (professor) : A. P. James on official website of Digital University Kerala Alex James on ieeexplore James, Alex Pappachen on WorldCat Professor Dr. Alex James features in Stanford University’s list of top 2% scientists in the world |
Nathalie Japkowicz : Nathalie Japkowicz is a Canadian computer scientist specializing in machine learning. She is a professor and department chair of computer science at the American University College of Arts and Sciences. |
Nathalie Japkowicz : Nathalie Japkowicz completed a B.Sc. at McGill University in 1988. She earned an M.Sc. from the University of Toronto in 1990. She completed a Ph.D. at Rutgers University in 1999. Her dissertation was titled Concept-learning in the absence of counter-examples: an autoassociation-based approach to c... |
Nathalie Japkowicz : Gao, Yong; Japkowicz, Nathalie, eds. (2009). Advances in Artificial Intelligence: 22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009 Kelowna, Canada, May 25–27, 2009 Proceedings. Lecture Notes in Computer Science. Vol. 5549. Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.... |
Nathalie Japkowicz : Autoencoder Citation graph One-class classification Women in computing in Canada == References == |
Jiaya Jia : Jiaya Jia (Chinese: 贾佳亚) is a Chair Professor of the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology (HKUST). He is an IEEE Fellow, the associate editor-in-chief of one of IEEE’s flagship and premier journals- Transactions on Pattern Analysis and Machine ... |
Jiaya Jia : Jiaya Jia joined CUHK in 2004 as an assistant professor, and was promoted to full professor in 2015. He obtained his PhD degree in computer science jointly from Hong Kong University of Science and Technology and Microsoft Research in 2004. From March 2003 to August 2004, he was a visiting scholar at Microso... |
Jiaya Jia : Jiaya Jia is a distinguished scientist in the fields of computer vision and artificial intelligence. His research team at HKUST, DV Lab, is one of the largest vision AI research teams in the world and has been making significant contribution to advanced development of computer vision algorithms and technolo... |
Jiaya Jia : The research areas of Jiaya Jia are computer vision, large X models, and deep learning. Jiaya Jia has made outstanding contributions to computer vision technology, algorithms and engineering, and is among the world's leading experts in the field. His research partners include numerous renowned multinational... |
Jiaya Jia : In his over 20 years of research experience, Jiaya Jia has published 200+ top papers that have been cited more than 80,000 times. According to HKUST Website in August 2024, Jiaya Jia has accumulatively published over 200 scientific papers in books, journals and conferences, such as IEEE Transactions on Patt... |
Jiaya Jia : Associate editor-in-chief of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) since 2021, the associate editor-in-chief in 42 years since the journal was published; Area chair for CVPR 2021, AAAI 2021, and ICCV 2021; Area chair for CVPR 2020, AAAI 2020, and ECCV 2020; 1st Place of WAD ... |
Michael I. Jordan : Michael Irwin Jordan (born February 25, 1956) is an American scientist, professor at the University of California, Berkeley, research scientist at the Inria Paris, and researcher in machine learning, statistics, and artificial intelligence. Jordan was elected a member of the National Academy of Engi... |
Michael I. Jordan : Jordan received a Bachelor of Science magna cum laude in psychology from the Louisiana State University in 1978, a Master of Science in mathematics from Arizona State University in 1980, and a Doctor of Philosophy in cognitive science from the University of California, San Diego in 1985. At UC San D... |
Michael I. Jordan : Jordan is the Pehong Chen Distinguished Professor at the University of California, Berkeley, where his appointment is split across EECS and Statistics. He was a professor at the Department of Brain and Cognitive Sciences at MIT from 1988 to 1998. In the 1980s Jordan started developing recurrent neur... |
Leslie P. Kaelbling : Leslie Pack Kaelbling is an American roboticist and the Panasonic Professor of Computer Science and Engineering at the Massachusetts Institute of Technology. She is widely recognized for adapting partially observable Markov decision processes from operations research for application in artificial ... |
Leslie P. Kaelbling : Kaelbling received an A. B. in Philosophy in 1983 and a Ph. D. in Computer Science in 1990, both from Stanford University. During this time she was also affiliated with the Center for the Study of Language and Information. She then worked at SRI International and the affiliated robotics spin-off T... |
Leslie P. Kaelbling : In the spring of 2000, she and two-thirds of the editorial board of the Kluwer-owned journal Machine Learning resigned in protest to its pay-to-access archives with simultaneously limited financial compensation for authors. Kaelbling co-founded and served as the first editor-in-chief of the Journa... |
Leslie P. Kaelbling : Reinforcement Learning: A Survey (LP Kaelbling, ML Littman, AW Moore). Journal of Artificial Intelligence Research (JAIR) 4 (1996) 237-285. A highly cited survey on the field of reinforcement learning. Planning and acting in partially observable stochastic domains (LP Kaelbling, ML Littman, AR Cas... |
Michael Kearns (computer scientist) : Michael Justin Kearns is an American computer scientist, professor and National Center Chair at the University of Pennsylvania, the founding director of Penn's Singh Program in Networked & Social Systems Engineering (NETS), the founding director of Warren Center for Network and Dat... |
Michael Kearns (computer scientist) : Kearns was born into an academic family, where his father David R Kearns is Professor Emeritus at University of California, San Diego in chemistry, who won Guggenheim Fellowship in 1969, and his uncle Thomas R. Kearns is Professor Emeritus at Amherst College in Philosophy and Law, ... |
Michael Kearns (computer scientist) : 2021. Member of the U. S. National Academy of Sciences. 2014. ACM Fellow. For contributions to machine learning, artificial intelligence, and algorithmic game theory and computational social science. 2012. American Academy of Arts and Sciences Fellow. |
Michael Kearns (computer scientist) : 2019. The Ethical Algorithm: The Science of Socially Aware Algorithm Design. (with Aaron Roth). Oxford University Press. 1994. An introduction to computational learning theory. (with Umesh Vazirani). MIT press. Widely used as a text book in computational learning theory courses. 19... |
Michael Kearns (computer scientist) : Tribute Day for Leslie Valiant's 60 birthday, May 2009 the speakers included Stephen Cook and Michael O. Rabin, both of whom are Turing Award winners, and Vijay Vazirani. |
Kristian Kersting : Kristian Kersting (born November 28, 1973, in Cuxhaven, Germany) is a German computer scientist. He is Professor of Artificial intelligence and Machine Learning at the Department of Computer Science at the Technische Universität Darmstadt, Head of the Artificial Intelligence and Machine Learning Lab... |
Kristian Kersting : Kersting studied computer science at the University of Freiburg, where he received his Ph.D. in 2006. At the university he attended a course on artificial intelligence given by Bernhard Nebel and became interested in the topic. He was a visiting postdoctoral researcher at the KU Leuven and a postdoc... |
Kristian Kersting : In 2006, he received the AI Dissertation Award of the European Association for Artificial Intelligence. In 2008, he received the Fraunhofer Attract research grant with a budget of 2.5 million euros over five years. He was appointed Fellow of the European Association for Artificial Intelligence (EurA... |
Kristian Kersting : De Raedt L., Kersting K. (2008) Probabilistic Inductive Logic Programming. In: De Raedt L., Frasconi P., Kersting K., Muggleton S. (eds) Probabilistic Inductive Logic Programming. Lecture Notes in Computer Science, vol 4911. Springer, Berlin, Heidelberg. ISBN 978-3-540-78651-1 Luc De Raedt, Kristian... |
Kristian Kersting : His website at the Artificial Intelligence and Machine Learning Lab |
Joseph Keshet : Joseph (Yossi) Keshet (Hebrew: יוסי קשת; born: 28 February 1973) is an Israeli professor in the Electrical and Computer Engineering Faculty of the Technion, where he is the director of the Speech, Language, and Deep Learning Lab. His research focuses on human speech and machine learning. |
Joseph Keshet : Keshet was born in Tel-Aviv. He graduated from the Amal School and began his academic studies at the Department of Electrical Engineering-Systems at Tel-Aviv University in 1991 and received his B.Sc. (Cum Laude) in 1994. Keshet served in the IDF Unit 8200 from 1995 to 2002 as the head of the speech proc... |
Joseph Keshet : Keshet was a Research Associate (postdoc) at IDIAP Research Institute, Martigny, Switzerland in 2007, and joined the TTI-Chicago and Department of Computer Science, University of Chicago, Chicago, IL in 2009 as Research Assistant Professor. In 2013, he returned to Israel and joined the Computer Science ... |
Joseph Keshet : Keshet's research work focuses on both machine learning and computational study of human speech and language. His work on speech and language concentrates on speech processing, speech recognition, acoustic phonetics, and pathological speech. In machine learning, Keshet is focused on deep learning and st... |
Joseph Keshet : Keshet is the founder and chair of the Machine Learning for Speech and Language Processing Special Interest Group (SIGML) of the International Speech Communication Association (ISCA), from 2011. He is a senior member of the IEEE Signal Processing Society since 2018 and a member of ISCA since 2002. |
Joseph Keshet : Prof. Keshet has authored more than 70 scientific publications and edited one book. |
Joseph Keshet : Keshet is married to Lital. They have three children. |
Joseph Keshet : Joseph Keshet, Technion Joseph Keshet, Google Scholar Joseph Keshet, IEEE Joseph Keshet, DBLP A lecture by Joseph Keshet at the Center for Language and Speech Processing, Johns Hopkins University |
Wolfgang Ketter : Wolfgang Ketter (born Traben-Trarbach, Germany, 1972) is Chaired Professor of Information Systems for a Sustainable Society at the University of Cologne. and a prominent scientist in the application of artificial intelligence, machine learning and intelligent agents in the design of smart markets, inc... |
Kurt Keutzer : Kurt Keutzer (born November 9, 1955) is an American computer scientist. |
Kurt Keutzer : Kurt Keutzer grew up in Indianapolis, Indiana. He earned a bachelor's degree in mathematics from Maharishi University of Management (formerly Mararishi International University) in 1978, and a PhD in computer science from Indiana University Bloomington in 1984. |
Kurt Keutzer : Keutzer joined Bell Labs in 1984, where he worked on logic synthesis. In 1991, he joined the electronic design automation company Synopsys, where he was promoted to chief technology officer. He subsequently joined the University of California, Berkeley as a professor in 1998. His research at Berkeley has... |
Kurt Keutzer : Keutzer was named a Fellow of the IEEE in 1996. Recipient of DAC Most Influential Paper (MIP) award (24th DAC, 1987) for his "Dagon: technology binding and local optimization by DAG matching” publication. |
Kurt Keutzer : 1988. Dwight Hill, Don Shugard, John Fishburn, and Kurt Keutzer. Algorithms and Techniques for VLSI Layout Synthesis. Springer. 1994. Srinivas Devadas, Abhijit Ghosh, and Kurt Keutzer. Logic Synthesis. McGraw-Hill. 2002. David Chinnery and Kurt Keutzer. Closing the Gap Between ASIC & Custom: Tools and Te... |
Andrei Knyazev (mathematician) : Andrew Knyazev is an American mathematician. He graduated from the Faculty of Computational Mathematics and Cybernetics of Moscow State University under the supervision of Evgenii Georgievich D'yakonov (Russian: Евгений Георгиевич Дьяконов) in 1981 and obtained his PhD in Numerical Math... |
Andrei Knyazev (mathematician) : Andrei Knyazev publications indexed by Google Scholar Andrei Knyazev's publications indexed by the Scopus bibliographic database. (subscription required) Andrei Knyazev at the Mathematics Genealogy Project Patents granted to Andrei Kniazev and patent applications filed by Andrei Kniazev... |
Yun Sing Koh : Yun Sing Koh (born 1978) is a New Zealand computer science academic, and is a full professor at the University of Auckland, specialising in machine learning and artificial intelligence. She is a co-director of the Centre of Machine Learning for Social Good, and the Advanced Machine Learning and Data Anal... |
Yun Sing Koh : Koh earned a Bachelor of Science with Honours and a Master of Software Engineering at the University of Malaya. She then completed a PhD titled Generating sporadic association rules at the University of Otago in 2007. Koh joined the faculty of the University of Auckland in 2010, rising to full professor.... |
Yun Sing Koh : Shafiq Alam; Gillian Dobbie; Yun Sing Koh; Patricia Riddle; Saeed Ur Rehman (August 2014). "Research on particle swarm optimization based clustering: A systematic review of literature and techniques". Swarm and evolutionary computation. 17: 1–13. doi:10.1016/J.SWEVO.2014.02.001. ISSN 2210-6502. Wikidata ... |
Yun Sing Koh : Continual Learning for Adaptive Predictive Systems - Yun Sing Koh, presentation at the 2022 Artificial Intelligence Researchers Association Conference, via YouTube Leading in the age of AI by leaving a legacy, Thousand Voices podcast episode interviewing Yun Sing Koh, 14 March 2022. |
Pushmeet Kohli : Pushmeet Kohli is an Indian British Computer Scientist and researcher who holds the position of Vice President of research at Google DeepMind, the leading AI company in the world, where he heads the "Science and Strategic Initiatives Unit". He has led and supervised a number of impactful projects like ... |
Pushmeet Kohli : Kohli was educated at National Institute of Technology, Warangal and Oxford Brookes University where his PhD awarded in 2007 was supervised by Philip Torr. He was a Postdoctoral fellow at University of Cambridge. |
Pushmeet Kohli : Before joining Google DeepMind, Pushmeet Kohli was partner scientist and director of research at Microsoft Research and a post-doctoral fellow at the University of Cambridge. Kohli's research investigates applications of machine learning and computer vision. He has also made contributions in game theor... |
Pushmeet Kohli : AlphaFold - breakthrough AI system for protein structure prediction AlphaTensor - a reinforcement learning agent that found new efficient algorithms for matrix multiplication SynthID - system for watermarking AI generated images. AlphaMissense - AI model for predicting the effect of missense mutations ... |
Teuvo Kohonen : Teuvo Kalevi Kohonen (11 July 1934 – 13 December 2021) was a Finnish computer scientist. He was professor emeritus of the Academy of Finland. |
Teuvo Kohonen : Kohonen studied at the Helsinki University of Technology and graduated with a master's degree in engineering in 1957. He received his doctorate in 1962 and stayed at the university with a faculty position until 1993. He was an academy professor of the Academy of Finland between 1975 and 1999. During doc... |
Teuvo Kohonen : Kohonen was elected the First Vice President of the International Association for Pattern Recognition from 1982 to 1984, and acted as the first president of the European Neural Network Society from 1991 to 1992. For his scientific achievements, Kohonen received a number of prizes including the following... |
Teuvo Kohonen : Kohonen, Teuvo (1988). "An introduction to neural computing". Neural Networks. 1 (1): 3–16. doi:10.1016/0893-6080(88)90020-2. |
Teuvo Kohonen : Kohonen, Teuvo (2014): MATLAB Implementations and Applications of the Self-Organizing Map, a text book. Interview with Teuvo Kohonen, by CIM Editorial Officer. IEEE Computational Intelligence Magazine, August 2008, Volume 3, Number 3, pages 4–5. doi:10.1109/MCI.2008.926611 |
Hans-Peter Kriegel : Hans-Peter Kriegel (1 October 1948, Germany) is a German computer scientist and professor at the Ludwig Maximilian University of Munich and leading the Database Systems Group in the Department of Computer Science. He was previously professor at the University of Würzburg and the University of Breme... |
Hans-Peter Kriegel : His most important contributions are the database index structures R*-tree, X-tree and IQ-Tree, the cluster analysis algorithms DBSCAN, OPTICS and SUBCLU and the anomaly detection method Local Outlier Factor (LOF). His research is focused around correlation clustering, high-dimensional data indexin... |
Hans-Peter Kriegel : In 2009 the Association for Computing Machinery appointed Hans-Peter Kriegel a "fellow", one of its highest honors. He has been honored in particular for his contributions to "knowledge discovery and data mining, similarity search, spatial data management, and access methods for high-dimensional da... |
Hans-Peter Kriegel : Former Database Systems Group of Hans-Peter Kriegel Publications in the Digital Bibliography & Library Project Publications in the ACM Digital Library Publications in Google Scholar |
Ray Kurzweil : Raymond Kurzweil ( KURZ-wyle; born February 12, 1948) is an American computer scientist, author, entrepreneur, futurist, and inventor. He is involved in fields such as optical character recognition (OCR), text-to-speech synthesis, speech recognition technology and electronic keyboard instruments. He has ... |
Ray Kurzweil : Kurzweil's first book, The Age of Intelligent Machines, was published in 1990. It discusses the history of computer artificial intelligence (AI) and forecasts future developments. Other AI experts contribute heavily to the book in the form of essays. The Association of American Publishers named it the Mo... |
Ray Kurzweil : In 2010, Kurzweil wrote and co-produced the film The Singularity Is Near: A True Story About the Future, directed by Anthony Waller and based in part on the book The Singularity Is Near. Part fiction, part nonfiction, the film blends interviews with 20 big thinkers (such as Marvin Minsky) with a narrativ... |
Ray Kurzweil : First place in the 1965 International Science Fair for inventing the classical music synthesizing computer The 1978 Grace Murray Hopper Award from the Association for Computing Machinery. The award is given annually to one "outstanding young computer professional" and is accompanied by a $35,000 prize. K... |
Ray Kurzweil : Paradigm shift Simulated reality |
Ray Kurzweil : Official website Appearances on C-SPAN Raymond Kurzweil at IMDb Ray Kurzweil Interview at NAMM Oral History Collection (January 20, 2007) Official Danielle Superheroine website |
Duygu Kuzum : Duygu Kuzum (born 1983) is a Turkish-American electrical engineer who is a professor at the University of California, San Diego's Jacobs School of Engineering. She develops transparent neural sensors based on single-layer materials. She was awarded a National Institutes of Health New Innovator Award in 20... |
Duygu Kuzum : Kuzum was born in Ankara, Turkey. She became interested in science as a child. She attended Bilkent University and was a doctoral researcher at Stanford University. Her doctoral research considered MOSFETs for CMOS applications. During her doctorate, she completed an internship at Intel. In 2011, she join... |
Duygu Kuzum : Kuzum joined the University of California, San Diego in 2015. Her research focuses on innovative computation strategies based on neural networks. She combines molecular neural sensors with machine learning to better understand neural processes. She has built self-assembled structures from stem cells embed... |
Duygu Kuzum : 2013 Poptech Fellow 2014 MIT Technology Review Innovators under 35 2016 Office of Naval Research Young Investigator Award 2017 IEEE Nanotechnology Council Young Investigator Award 2018 NSF Career Award 2018 National Institutes of Health NIBIB Trailblazer Award 2020 National Institutes of Health New Innova... |
Duygu Kuzum : Duygu Kuzum; Rakesh G D Jeyasingh; Byoungil Lee; H-S Philip Wong (14 June 2011). "Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing". Nano Letters. 12 (5): 2179–2186. doi:10.1021/NL201040Y. ISSN 1530-6984. PMID 21668029. Wikidata Q39986876. Duygu Kuzum; Shim... |
Himabindu Lakkaraju : Himabindu "Hima" Lakkaraju is an Indian-American computer scientist who works on machine learning, artificial intelligence, algorithmic bias, and AI accountability. She is currently an Assistant Professor at the Harvard Business School and is also affiliated with the Department of Computer Science... |
Himabindu Lakkaraju : Lakkaraju obtained a master's degree in computer science from the Indian Institute of Science in Bangalore. As part of her master's thesis, she worked on probabilistic graphical models and developed semi-supervised topic models which can be used to automatically extract sentiment and concepts from... |
Himabindu Lakkaraju : Lakkaraju's doctoral research focused on developing and evaluating interpretable, transparent, and fair predictive models which can assist human decision makers (e.g., doctors, judges) in domains such as healthcare, criminal justice, and education. As part of her doctoral thesis, she developed alg... |
Himabindu Lakkaraju : 2021 National Science Foundation – Amazon Fairness in AI grant 2020 Amazon Research Award 2019 MIT Technology Review Innovators Under 35 2019 Vanity Fair Future Innovators 2017 Microsoft Research Dissertation Grant 2017 INFORMS Best Data Mining Paper Prize 2016 Carnegie Mellon University Rising St... |
Himabindu Lakkaraju : A course on "Interpretability and Explainability in Machine Learning", 2019 NeurIPS conference tutorial on "Explaining Machine Learning Predictions: State-of-the-art, Challenges, and Opportunities", 2020 AAAI conference tutorial on "Explaining Machine Learning Predictions: State-of-the-art, Challe... |
Himabindu Lakkaraju : Jon Kleinberg; Himabindu Lakkaraju; Jure Leskovec; Jens Ludwig; Sendhil Mullainathan (February 2017). "Human Decisions and Machine Predictions" (PDF). National Bureau of Economic Research Working Paper Series. National Bureau of Economic Research Working Paper Series (23180). National Bureau of Ec... |
John Langford (computer scientist) : John Langford (born January 2, 1975) is a computer scientist working in machine learning and learning theory, a field that he says, "is shifting from an academic discipline to an industrial tool". He is well known for work on the Isomap embedding algorithm, CAPTCHA challenges, Cover... |
Quoc V. Le : Lê Viết Quốc (born 1982), or in romanized form Quoc Viet Le, is a Vietnamese-American computer scientist and a machine learning pioneer at Google Brain, which he established with colleagues from Google. He co-invented the doc2vec and seq2seq models in natural language processing. Le also initiated and lead... |
Quoc V. Le : Le was born in Hương Thủy in the Thừa Thiên Huế province of Vietnam. He attended Quốc Học Huế High School before moving to Australia in 2004 to pursue a Bachelor’s degree at the Australian National University. During his undergraduate studies, he worked with Alex Smola on Kernel method in machine learning.... |
Quoc V. Le : Le was named MIT Technology Review's innovators under 35 in 2014. He has been interviewed by and his research has been reported in major media outlets including Wired, the New York Times, the Atlantic, and the MIT Technology Review. Le was named an Alumni Laureate of the Australian National University Scho... |
Quoc V. Le : Oriol Vinyals Ilya Sutskever Jeff Dean Alex Smola == References == |
Yann LeCun : Yann André Le Cun ( lə-KUN, French: [ləkœ̃]; usually spelled LeCun; 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. He is the Silver Professor of the Courant Institute of Mathemat... |
Yann LeCun : LeCun was born on 8 July 1960, at Soisy-sous-Montmorency in the suburbs of Paris. His name, Le Cun, originates from the old Breton form Le Cunff, and was from the region of Guingamp in northern Brittany. "Yann" is the Breton form for "John". He received a Diplôme d'Ingénieur from the ESIEE Paris in 1983 an... |
Yann LeCun : LeCun is a member of the US National Academy of Sciences, National Academy of Engineering and the French Académie des Sciences. He has received honorary doctorates from IPN in Mexico City in 2016, from EPFL in 2018, from Université Côte d'Azur in 2021, from Università di Siena in 2023, and from Hong Kong U... |
Yann LeCun : Official website |
Shane Legg : Shane Legg (born 1973 or 1974) is a machine learning researcher and entrepreneur. With Demis Hassabis and Mustafa Suleyman, he cofounded DeepMind Technologies (later bought by Google and now called Google DeepMind), and works there as the chief AGI scientist. He is also known for his academic work on artif... |
Shane Legg : Legg attended Rotorua Lakes High School in Rotorua, on New Zealand's North Island. He completed his undergraduate studies at Waikato University in 1996. Also in 1996, he obtained his MSc degree with a thesis entitled "Solomonoff Induction", with Cristian S. Calude at the University of Auckland. |
Shane Legg : In the early 2000s, Legg re-introduced and popularized with Ben Goertzel the term "artificial general intelligence" (AGI), to describe an AI that can do practically any cognitive task a human can do. At that time, talking about AGI "would put you on the lunatic fringe". Legg is known for his concern of exi... |
Shane Legg : Before his PhD and before cofounding DeepMind, Shane Legg worked at "a number of software development positions at private companies", including the "big data firm Adaptive Intelligence" and the startup WebMind founded by Ben Goertzel. |
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