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Geoffrey Hinton
Research leaders

Geoffrey Hinton

The godfather of deep learning; Turing and Nobel laureate.

b. 1947CanadaProfessor Emeritus, University of Toronto

Persisted with neural networks through two winters when the field had written them off. Co-authored the backpropagation paper, supervised the students who built AlexNet, and left Google in 2023 to speak freely about risk.

Known for
BackpropagationBoltzmann machinesAlexNetTuring Award 2018Nobel Prize in Physics 2024

4 CareerEvery role we can document, most recent first

  1. 1987–now39 yrsUniversity of TorontoProfessor Emeritus
  2. 2013–202310 yrsGoogle BrainVP & Engineering Fellow
  3. 2012–20131 yrDNNresearchCo-founder
  4. 1982–19875 yrsCarnegie MellonProfessor

0 Books & papersPublished work, oldest first

No books — their work lives in papers, code and talks. The accounts above are the place to follow it.

LineageWho taught whom. Most of this field descends from a handful of laboratories, and the shortest path between two researchers is usually an advisor.

Studied underdoctoral or postdoctoral advisors
Christopher Longuet-Higgins
Taughtstudents and postdocs
Ilya SutskeverIlya SutskeverYann LeCunYann LeCunNick FrosstAlex KrizhevskyRadford NealBrendan Frey
Worked alongsideco-founders and close collaborators

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Portrait, CC-BY-SA-3.0, via Wikimedia Commons. Roles and dates are drawn from public professional records. Where a current role is listed, it reflects the most recent information available and may have changed.