Difference between revisions of "Yoshua Bengio"
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{{person | {{person | ||
|wikipedia=https://en.wikipedia.org/wiki/Yoshua_Bengio | |wikipedia=https://en.wikipedia.org/wiki/Yoshua_Bengio | ||
| − | | | + | |linkedin=https://ca.linkedin.com/in/yoshuabengio |
| − | | | + | |residence=Canada |
| − | | | + | |description=[[Deep learning]] and [[Artificial Intelligence]] expert who attended the [[2016 Bilderberg]] |
| − | | | + | |image=Yoshua Bengio.jpg |
| − | | | + | |interests=Artificial Intelligence,neural nets, deep learning |
| − | |birth_date= | + | |birth_date=March 5, 1964 |
| − | |birth_place= | + | |birth_place=France |
|death_date= | |death_date= | ||
|death_place= | |death_place= | ||
|constitutes=computer scientist, researcher | |constitutes=computer scientist, researcher | ||
| − | | | + | |alma_mater=McGill University |
| + | |website=https://yoshuabengio.org/ | ||
| + | |nationality=Canada | ||
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}} | }} | ||
| + | '''Yoshua Bengio''' is a Canadian computer scientist. He became known for his research on artificial [[neural networks]] and [[deep learning]], for which he is considered one of the pioneers, together with [[Geoffrey Hinton]] and fellow [[Bilderberger]] [[Yann LeCun]].<ref>https://www.technologyreview.com/s/539226/ibm-pushes-deep-learning-with-a-watson-upgrade/</ref> | ||
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| + | ==Early life== | ||
| + | Bengio was born in France to a [[Sephardic Jewish]] family who immigrated to France from [[Morocco]], and then immigrated again to [[Montreal]], Canada. He studied electrical engineering and computer science at [[McGill University]], where he received his bachelor's degree in electrical engineering in 1986, his master's degree in computer science in 1988 and his PhD under [[Renato de Mori]] in 1991. | ||
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| + | As a post-doctoral student he was with [[Michael I. Jordan]] at the [[Massachusetts Institute of Technology]] and at [[Bell Laboratories]] (1992/93) in the group of [[Larry Jackel]], [[Yann LeCun]] and [[Vladimir Vapnik]]. During this time he showed in a series of works the limits of gradient-based machine learning for parameterized dynamic systems, including recurrent neural networks or HMM. Since 1993 he has been a professor at the [[University of Montreal]], where he headed the Montreal Institute for Learning Algorithms (MILA)<ref>https://www.cifar.ca/profiles/yoshua-bengio/</ref> and is co-director of the Learning in Machines & Brains project of the [[Canadian Institute for Advanced Research]]. He has also had a Canada Research Chair since 2000 in statistical learning algorithms. | ||
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| + | He researches on the limits of common algorithms of machine learning in [[artificial intelligence]] with the aim of possibly bypassing them with new algorithms and machines. In the 1990s he presented the problems of learning to represent context and later the limits of flat architectures and the difficult optimization and inference problems of deeper architectures of neural networks. | ||
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| + | In October 2016, Bengio co-founded [[Element AI]], a Montreal-based artificial intelligence incubator that turns AI research into real-world business applications.<ref>https://www.wired.com/2016/10/ai-pioneer-yoshua-bengio-launching-element-ai-deep-learning-incubator/</ref> Having failed to develop marketable products and losing several partnerships, by 2020 the company was running out of money and options and announced its sale to American software company [[ServiceNow]] in November. The sale will see largely Canadian taxpayer funded [[intellectual property]] exported to the [[United States]], contrary to Bengio's desire to found Element AI as a Canadian company to rival the world's tech giants.<ref>https://www.theglobeandmail.com/business/article-element-ai-sold-for-230-million-as-founders-saw-value-wiped-out/</ref> Bengio will stay employed as an advisor while the vast majority of employees were terminated with their stock options voided and cancelled with no value in lieu provided.<ref>https://www.theglobeandmail.com/business/article-once-touted-as-a-technology-world-beater-montreals-element-ai-sells/</ref> | ||
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{{SMWDocs}} | {{SMWDocs}} | ||
==References== | ==References== | ||
{{reflist}} | {{reflist}} | ||
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Latest revision as of 14:23, 29 November 2023
 Yoshua Bengio      (computer scientist, researcher) | |
|---|---|
 | |
| Born | March 5, 1964 France |
| Residence | Canada |
| Nationality | Canada |
| Alma mater | McGill University |
| Interests | • Artificial Intelligence • neural nets • deep learning |
Yoshua Bengio is a Canadian computer scientist. He became known for his research on artificial neural networks and deep learning, for which he is considered one of the pioneers, together with Geoffrey Hinton and fellow Bilderberger Yann LeCun.[1]
Early life
Bengio was born in France to a Sephardic Jewish family who immigrated to France from Morocco, and then immigrated again to Montreal, Canada. He studied electrical engineering and computer science at McGill University, where he received his bachelor's degree in electrical engineering in 1986, his master's degree in computer science in 1988 and his PhD under Renato de Mori in 1991.
As a post-doctoral student he was with Michael I. Jordan at the Massachusetts Institute of Technology and at Bell Laboratories (1992/93) in the group of Larry Jackel, Yann LeCun and Vladimir Vapnik. During this time he showed in a series of works the limits of gradient-based machine learning for parameterized dynamic systems, including recurrent neural networks or HMM. Since 1993 he has been a professor at the University of Montreal, where he headed the Montreal Institute for Learning Algorithms (MILA)[2] and is co-director of the Learning in Machines & Brains project of the Canadian Institute for Advanced Research. He has also had a Canada Research Chair since 2000 in statistical learning algorithms.
He researches on the limits of common algorithms of machine learning in artificial intelligence with the aim of possibly bypassing them with new algorithms and machines. In the 1990s he presented the problems of learning to represent context and later the limits of flat architectures and the difficult optimization and inference problems of deeper architectures of neural networks.
In October 2016, Bengio co-founded Element AI, a Montreal-based artificial intelligence incubator that turns AI research into real-world business applications.[3] Having failed to develop marketable products and losing several partnerships, by 2020 the company was running out of money and options and announced its sale to American software company ServiceNow in November. The sale will see largely Canadian taxpayer funded intellectual property exported to the United States, contrary to Bengio's desire to found Element AI as a Canadian company to rival the world's tech giants.[4] Bengio will stay employed as an advisor while the vast majority of employees were terminated with their stock options voided and cancelled with no value in lieu provided.[5]
Events Participated in
| Event | Start | End | Location(s) | Description |
|---|---|---|---|---|
| Bilderberg/2016 | 9 June 2016 | 12 June 2016 | Germany Dresden | The 2016 Bilderberg meeting took place in Dresden, Germany. |
| Bilderberg/2024 | 30 May 2024 | 2 June 2024 | Spain Madrid | The 70th Bilderberg Meeting |
References
- ↑ https://www.technologyreview.com/s/539226/ibm-pushes-deep-learning-with-a-watson-upgrade/
- ↑ https://www.cifar.ca/profiles/yoshua-bengio/
- ↑ https://www.wired.com/2016/10/ai-pioneer-yoshua-bengio-launching-element-ai-deep-learning-incubator/
- ↑ https://www.theglobeandmail.com/business/article-element-ai-sold-for-230-million-as-founders-saw-value-wiped-out/
- ↑ https://www.theglobeandmail.com/business/article-once-touted-as-a-technology-world-beater-montreals-element-ai-sells/
