# Geoffrey Hinton

> British-Canadian computer scientist and psychologist

**Wikidata**: [Q92894](https://www.wikidata.org/wiki/Q92894)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Geoffrey_Hinton)  
**Source**: https://4ort.xyz/entity/geoffrey-hinton

## Summary

Geoffrey Hinton was born on December 6, 1947, in Wimbledon and holds citizenship in the United Kingdom and Canada[1][2]. He is the son of Howard Everest Hinton[1]. His educational background includes studies at the University of Edinburgh and King's College[1].He works as a computer scientist, artificial intelligence researcher, university teacher, neuroscientist, and psychologist[3]. His professional fields encompass deep learning, machine learning, neuroscience, and artificial neural networks[3]. Over his career, he has been employed by the University of Toronto, Google from 2013 to 2023, and Carnegie Mellon University[4][5].His contributions have been recognized with numerous awards, including being named a Fellow of the Royal Society, receiving the IEEE Frank Rosenblatt Award, the Rumelhart Prize, the IJCAI Award for Research Excellence, the BBVA Foundation Frontiers of Knowledge Award, and being named an AAAI Fellow, among others[1][6][7][8][9][10][11]. He is a member of the Royal Society, the American Academy of Arts and Sciences, the Association for the Advancement of Artificial Intelligence, and the Royal Society of Canada[12].

## Summary  
Geoffrey Hinton is a British‑Canadian computer scientist and psychologist best known as a pioneer of deep learning and neural networks. His research laid the foundations for modern artificial intelligence, earning him the 2024 Nobel Prize in Physics and a long list of prestigious awards.

## Biography  
- **Born:** 1947‑12‑06, Wimbledon, United Kingdom  
- **Nationality:** United Kingdom; Canada  
- **Education:**  
  * B.A. in Experimental Psychology, King’s College (1970)  
  * Ph.D. in Artificial Intelligence, University of Edinburgh (1978) – doctoral advisor H. Christopher Longuet‑Higgins  
- **Known for:** Pioneering deep learning, back‑propagation, and probabilistic neural models.  
- **Employer(s):** University of Toronto (current); Google (2013 – 2023); Carnegie Mellon University (past).  
- **Field(s):** Deep learning, machine learning, artificial intelligence, neuroscience, applied psychology, artificial neural networks  

## Contributions  
Geoffrey Hinton’s work transformed AI from a niche research area into a mainstream technology. He co‑authored the seminal back‑propagation paper that enabled multilayer neural networks to be trained efficiently. His research on restricted Boltzmann machines and deep belief networks introduced probabilistic learning methods that underpin many modern generative models. In 2013 Google acquired his startup DNNresearch, integrating his deep‑learning expertise into the company’s products and services. Hinton’s mentorship produced a generation of AI leaders, including Ilya Sutskever and Ruslan Salakhutdinov, who founded or led major AI labs. His contributions were recognized with the 2024 Nobel Prize in Physics for breakthroughs that “have transformed the way we understand and use artificial intelligence.”  

## FAQs  
### Q: What is Geoffrey Hinton most famous for?  
A: He is the “godfather of deep learning,” best known for popularizing back‑propagation and developing deep neural network architectures that power today’s AI systems.  

### Q: Which major awards has he received?  
A: Among many honors, he is a Fellow of the Royal Society (1998), recipient of the IEEE Frank Rosenblatt Award (2014), Rumelhart Prize (2001), BBVA Frontiers of Knowledge Award (2016), Companion of the Order of Canada (2018), and the 2024 Nobel Prize in Physics.  

### Q: What was his role at Google?  
A: Hinton joined Google in 2013 after its acquisition of his company DNNresearch, where he led deep‑learning research until his resignation in May 2023.  

## Why They Matter  
Hinton’s breakthroughs made deep neural networks practical, catalyzing the AI revolution that now powers speech recognition, computer vision, natural‑language processing, and autonomous systems. By demonstrating that large‑scale learning could outperform handcrafted algorithms, he shifted research focus toward data‑driven models and inspired industry investment in AI. His students and collaborators founded leading AI labs (e.g., OpenAI, DeepMind), spreading his ideas globally. Without Hinton’s contributions, today’s AI capabilities—such as real‑time translation, medical image analysis, and large language models—would likely be far less advanced or delayed by decades.  

## Notable For  
- 2024 Nobel Prize in Physics for deep‑learning breakthroughs.  
- Co‑author of the back‑propagation paper that enabled training of multilayer neural networks.  
- Founder of DNNresearch, acquired by Google in 2013, integrating deep learning into Google’s products.  
- Mentor to a generation of AI researchers, including Ilya Sutskever and Ruslan Salakhutdinov.  
- Recipient of multiple high‑profile awards (IEEE Rosenblatt Award, Rumelhart Prize, BBVA Frontiers of Knowledge, Order of Canada).  

## Body  

### Early Life and Education  
- Born in Wimbledon, UK, to Howard Everest Hinton.  
- Completed a B.A. in experimental psychology at King’s College (1970).  
- Earned a Ph.D. in artificial intelligence from the University of Edinburgh (1978) under H. Christopher Longuet‑Higgins.  

### Academic Career  
- Held faculty positions at Carnegie Mellon University and the University of Toronto, where he remains a professor.  
- Supervised notable doctoral students such as Ilya Sutskever, Ruslan Salakhutdinov, and Richard S. Zemel.  

### Industry Work  
- Founded DNNresearch, a deep‑learning startup.  
- Google acquired DNNresearch in 2013; Hinton served as a Google researcher until May 2023.  

### Key Publications & Projects  
- Back‑propagation (seminal neural‑network training method).  
- Restricted Boltzmann machines and deep belief networks (probabilistic models for unsupervised learning).  
- Contributions to the development of large‑scale neural architectures used in modern AI systems.  

### Awards and Honors  
- Fellow of the Royal Society (1998) and Royal Society of Canada (1996).  
- IEEE Frank Rosenblatt Award (2014).  
- Rumelhart Prize (2001).  
- BBVA Frontiers of Knowledge Award (2016).  
- Companion of the Order of Canada (2018).  
- 2024 Nobel Prize in Physics.  

### Influence and Legacy  
- His research sparked the deep‑learning boom of the 2010s, leading to breakthroughs in image and speech recognition.  
- Many of his former students now lead AI research labs worldwide, extending his impact across academia and industry.  

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## References

1. Who's Who
2. [Source](https://www.cs.toronto.edu/~hinton/fullcv.pdf)
3. Czech National Authority Database
4. [‘The Godfather of A.I.’ Leaves Google and Warns of Danger Ahead](https://www.nytimes.com/2023/05/01/technology/ai-google-chatbot-engineer-quits-hinton.html)
5. [Deep learning pioneer Geoffrey Hinton quits Google](https://www.technologyreview.com/2023/05/01/1072478/deep-learning-pioneer-geoffrey-hinton-quits-google/)
6. [Source](https://www.ieee.org/content/dam/ieee-org/ieee/web/org/about/awards/recipients/rosenblatt-rl.pdf)
7. [Source](https://cognitivesciencesociety.org/rumelhart-prize/)
8. [IJCAI Awards | IJCAI](https://www.ijcai.org/awards/)
9. [Geoffrey Hinton, 9th Frontiers of Knowledge Award in Information and Communication Technologies](https://www.frontiersofknowledgeawards-fbbva.es/galardonados/geoffrey-hinton-2/)
10. [Source](https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/elected-aaai-fellows/)
11. [Source](https://www.nserc-crsng.gc.ca/Prizes-Prix/Herzberg-Herzberg/Winners-LaureatesLaureats_eng.asp?Year=Archived)
12. [Source](https://awards.acm.org/about/2018-turing)
13. [Dr. Geoffrey E. Hinton. 本田財団](https://www.hondafoundation.jp/winner/view_en/1330)
14. [Source](https://www.cmu.edu/dickson-prize/past-winners/index.html)
15. [Source](https://www.ieee.org/content/dam/ieee-org/ieee/web/org/about/awards/recipients/maxwell-rl.pdf)
16. [Source](https://www.acm.org/media-center/2024/january/fellows-2023)
17. [The Nobel Prize in Physics 2024](https://www.nobelprize.org/prizes/physics/2024/press-release/)
18. [Source](https://api.nobelprize.org/2.1/laureate/1038)
19. [Source](https://qeprize.org/winners/modern-machine-learning)
20. [Source](https://www.cs.toronto.edu/~amnih/)
21. Mathematics Genealogy Project
22. general catalog of BnF
23. Virtual International Authority File
24. CiNii Research
25. OPAC SBN
26. [Current AAAI Members Who Are Fellows](https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/current-aaai-members-who-are-fellows/)
27. [Source](https://ellis.eu/members)
28. [Geoffrey E. Hinton – NAS](https://www.nasonline.org/directory-entry/geoffrey-e-hinton-c2tmwf/)
29. [Geoffrey E Hinton | Open Library](https://openlibrary.org/authors/OL3640215A/Geoffrey_E_Hinton)
30. E-Theses Online Service
31. Geoffrey Hinton | Rotten Tomatoes. Rotten Tomatoes
32. [Geoffrey Hinton | Biography, Nobel Prize, Machine Learning, AI, & Facts | Britannica. 2024](https://www.britannica.com/biography/Geoffrey-Hinton)
33. Dialnet
34. [Source](https://dbn.bn.org.pl/descriptor-details/a1000001204740)
35. [Tweets with replies by Geoffrey Hinton (@geoffreyhinton) / Twitter](https://twitter.com/geoffreyhinton/with_replies)
36. [Source](https://babelnet.org/synset?id=bn:03291742n&lang=EN)
37. [Source](https://inspirehep.net/authors/2171921)
38. [Geoffrey Hinton (Author of Unsupervised Learning)](https://www.goodreads.com/author/show/584625.Geoffrey_Hinton)
39. Geoffrey Hinton - Uppslagsverk - NE.se. Nationalencyklopedin
40. [Hinton, Geoffrey Everest - Enciclopedia](https://www.treccani.it/enciclopedia/eol-hinton-geoffrey-everest/)
41. [Source](https://littlesis.org/person/433291-Geoffrey_Hinton)
42. [Source](https://littlesis.org/person/439595-Geoffery_Hinton)
43. [Source](https://www.reddit.com/r/MachineLearning/comments/2lmo0l/ama_geoffrey_hinton/)
44. [Source](https://www.amazon.com/stores/Geoffrey-Hinton/author/B0DJ1Q647B)
45. [Source](https://www.themoviedb.org/person/3867166-geoffrey-hinton)
46. Brockhaus Enzyklopädie
47. [Source](https://www.researchgate.net/scientific-contributions/Geoffrey-E-Hinton-6458213)
48. Letterboxd
49. Geoffrey Hinton | Author | LibraryThing. LibraryThing
50. Golden