Samy Bengio

Samy Bengio
Born1965 (age 58–59)
Paris, France
NationalityCanadian
Alma materUniversité de Montréal
RelativesYoshua Bengio (brother)
Scientific career
FieldsComputer science
InstitutionsApple, Google, IDIAP Research Institute, Microcell Labs
ThesisOptimisation d'une règle d'apprentissage pour réseaux de neurones artificiels (Optimization of a learning rule for artificial neural networks) (1993)
Websitebengio.abracadoudou.com

Samy Bengio is a Canadian computer scientist, Senior Director of AI and Machine Learning Research at Apple,[1] and a former long-time scientist at Google[2] known for leading a large group of researchers working in machine learning including adversarial settings. Bengio left Google shortly after the company fired his report, Timnit Gebru, without first notifying him.[3][4] At the time, Bengio said that he had been "stunned" by what happened to Gebru.[5] He is also among the three authors who developed Torch in 2002,[6] the ancestor of PyTorch,[7] one of today's two largest machine learning frameworks.[8]

  1. ^ "Apple hires ex-Google AI scientist who resigned after colleagues' firings". Reuters. 2021-05-03. Retrieved 2021-05-21.
  2. ^ "Another prominent Google scientist is leaving the company amid fallout from fired AI researcher". CNBC. 6 April 2021. Retrieved 2021-04-09.
  3. ^ Dave, Jeffrey Dastin, Paresh (2020-12-17). "Google staff demand exec step aside after ethicist's firing - document". Reuters. Retrieved 2021-06-11.{{cite news}}: CS1 maint: multiple names: authors list (link)
  4. ^ Schiffer, Zoe (2021-04-06). "Google AI manager resigns following controversial firings of two top researchers". The Verge. Retrieved 2021-06-11.
  5. ^ "Samy Bengio". www.facebook.com. Retrieved 2021-06-11.
  6. ^ Collobert, Ronan; Bengio, Samy; Marithoz, Johnny (2002). Torch: A Modular Machine Learning Software Library. CiteSeerX 10.1.1.8.9850.
  7. ^ Yegulalp, Serdar (2017-01-19). "Facebook brings GPU-powered machine learning to Python". InfoWorld. Retrieved 2021-02-23.
  8. ^ "The State of Machine Learning Frameworks in 2019". The Gradient. 2019-10-10. Retrieved 2021-02-23.