Yannis Assael
| Yannis Assael | |
|---|---|
| Born | Greece |
| 🎓 Alma mater | University of Oxford, Imperial College London, University of Macedonia |
| 💼 Occupation | |
| Twitter= | |
Yannis Assael is a Greek artificial intelligence research scientist currently working at Google DeepMind.[1]
Biography[edit]
Yannis Assael graduated from the Department of Applied Informatics, University of Macedonia, Greece, in 2013. In 2014, he did his MSc in Computer Science at the University of Oxford, where he received the Tony Hoare Prize for the best overall performance in his class. [1] In 2015, he continued for an MRes in Machine Learning at Imperial College London, and in 2016-2019, he went back to the University of Oxford for a DPhil degree in Machine Learning supported by the Oxford - Google DeepMind Graduate Scholarship.[2] Today he is a Research Scientist at Google DeepMind.
Research[edit]
His research focuses on:
- Deep reinforcement learning and differentiable multi-agent communication.[3][4][5]
- Audio-visual speech recognition (LipNet[6]).[7][8][9][10]
- Ancient text restoration using deep learning.[11][12][13][14]
Awards and Scholarships[edit]
Here is the list of awards and scholarships won by Yannis Assael:
- Tony Hoare Prize for “Best overall performance in the MSc in Computer Science”, University of Oxford, 2014. [2]
External links[edit]
- Yannis Assael publications indexed by Google Scholar.
References[edit]
- ↑ "Yannis Assael". DeepMind. Retrieved 11 August 2020.
- ↑ "Yannis Assael". Whiteson Research Lab. Retrieved 28 August 2020.
- ↑ "Can you solve the 'hat riddle' set by Google in job interviews?". www.independent.co.uk. Retrieved 2020-08-28.
- ↑ "AI solves 100-hat puzzle used in Google job interviews". New Scientist. Retrieved 28 August 2020.
- ↑ "Can you solve the '100 hat riddle' used by Google in job interviews". Independent. Retrieved 28 August 2020.
- ↑ Assael, Yannis M.; Shillingford, Brendan; Whiteson, Shimon; de Freitas, Nando (2016-12-16). "LipNet: End-to-End Sentence-level Lipreading". arXiv:1611.01599 [cs]. arXiv:1611.01599.
- ↑ "Can deep learning help solve lip reading?". The Verge. Retrieved 28 August 2020.
- ↑ "AI that lip-reads 'better than humans'". BBC News. 2016-11-08. Retrieved 2021-02-12.
- ↑ "AI Has Beaten Humans at Lip-reading". MIT Technology Review. Retrieved 2021-02-12.
- ↑ Team, ΤοΒΗΜΑ (2016-11-09). "Λογισμικό διαβάζει τα χείλη των ανθρώπων". Ειδήσεις - νέα - Το Βήμα Online (in Ελληνικά). Retrieved 2021-02-12.
- ↑ "Restoring ancient text using deep learning: a case study on Greek epigraphy". Deepmind. Retrieved 2020-08-28.
- ↑ "Oracle of AI solves classic ancient conundrums". The Times. Retrieved 31 August 2020.
- ↑ "AI is helping scholars restore ancient Greek texts on stone tablets". Tech Crunch. 19 October 2019. Retrieved 31 August 2020.
- ↑ "How AI helps historians solve ancient puzzles". Financial Times. Retrieved 12 February 2021. Unknown parameter
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