Yoshua Bengio

Yoshua Bengio
Yoshua Bengio en 2019.
Nascimento5 de março de 1964 (62 anos)
Paris
ResidênciaMontreal
CidadaniaCanadá, França
Irmão(ã)(s)Samy Bengio
Alma mater
Ocupaçãopesquisador de inteligência artificial, professor, cientista da computação, cientista da informação
Distinções
  • Prémio Acfas Urgel-Archambault (2009)
  • Oficial da Ordem do Canadá (2017)
  • Prémio Marie-Victorin (2017)
  • Prêmio Turing (2018)
  • Membro da Sociedade Real do Canadá (2017)
  • AAAI Fellow (For foundational contributions to development of deep neural networks, scientific leadership in Canada, and service to the AI community., 2020)
  • Cavaleiro da Legião de Honra (2022)
  • membro da Royal Society (2020, 2020)
  • IEEE Neural Networks Pioneer Award (2019)
  • Princess of Asturias Award for Technical and Scientific Research (2022)
  • ACM Fellow (For conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing, 2024, 2023)
  • VinFuture Prize (2024)
  • Prêmio de Engenharia Rainha Elizabeth (2025)
  • Oficial da Ordem Nacional do Quebec
Empregador(a)Universidade de Montreal
Orientador(a)(es/s)Renato De Mori
Religiãojudaísmo
Página oficial
https://yoshuabengio.org/fr/, https://yoshuabengio.org/

Yoshua Bengio (Paris, 1964) é um cientista da computação canadense, conhecido por seu trabalho sobre redes neurais artificiais e aprendizagem profunda.[1][2][3] Recebeu o Prêmio Turing de 2018, juntamente com Geoffrey Hinton e Yann LeCun, por seu trabalho sobre aprendizagem profunda.[4] É professor do Department of Computer Science and Operations Research da Universidade de Montreal e diretor científico do Montreal Institute for Learning Algorithms (MILA).

Yoshua Bengio being interviewed for the Dutch television series The Mind of the Universe

Bibliografia

  • Ian Goodfellow, Yoshua Bengio and Aaron Courville: Deep Learning (Adaptive Computation and Machine Learning), MIT Press, Cambridge (USA), 2016. ISBN 978-0262035613.
  • Dzmitry Bahdanau; Kyunghyun Cho; Yoshua Bengio, «Neural Machine Translation by Jointly Learning to Align and Translate», arXiv 
  • Léon Bottou, Patrick Haffner, Paul G. Howard, Patrice Simard, Yoshua Bengio, Yann LeCun: High Quality Document Image Compression with DjVu, In: Journal of Electronic Imaging, Band 7, 1998, S. 410–425 doi:10.1117/1.482609
  • Bengio, Yoshua; Schuurmans, Dale; Lafferty, John; Williams, Chris K. I. and Culotta, Aron (eds.), Advances in Neural Information Processing Systems 22 (NIPS'22), December 7th–10th, 2009, Vancouver, BC, Neural Information Processing Systems (NIPS) Foundation, 2009
  • Y. Bengio, Dong-Hyun Lee, Jorg Bornschein, Thomas Mesnard, Zhouhan Lin: Towards Biologically Plausible Deep Learning, arXiv.org, 2016
  • Bengio contributed one chapter to Architects of Intelligence: The Truth About AI from the People Building it, Packt Publishing, 2018, ISBN 978-1-78-913151-2, by the American futurist Martin Ford.[5]

Referências

  1. ↑ Knight, Will (9 de julho de 2015). «IBM Pushes Deep Learning with a Watson Upgrade». MIT Technology Review. Consultado em 21 de junho de 2019 
  2. ↑ LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey (2015). «Deep learning». Nature. 521 (7553): 436–444. PMID 26017442. doi:10.1038/nature14539 
  3. ↑ Bergen, Mark; Wagner, Kurt (15 de julho de 2015). «Welcome to the AI Conspiracy: The 'Canadian Mafia' Behind Tech's Latest Craze». Recode. Consultado em 21 de junho de 2019 
  4. ↑ «Fathers of the Deep Learning Revolution Receive ACM A.M. Turing Award». Association for Computing Machinery. New York. 27 de março de 2019. Consultado em 21 de junho de 2019 
  5. ↑ Falcon, William (30 de novembro de 2018). «This Is The Future Of AI According To 23 World-Leading AI Experts». Forbes. Consultado em 21 de junho de 2019 

Ligações externas

O Commons possui uma categoria com imagens e outros ficheiros sobre Yoshua Bengio


Precedido por
John LeRoy Hennessy e David A. Patterson		 Prêmio Turing
2018
com Geoffrey Hinton e Yann LeCun		 Sucedido por
Edwin Catmull e Pat Hanrahan


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