Yannis Assael

Yannis Assael is a Greek artificial intelligence research scientist currently working at Google DeepMind.[1]

Yannis Assael
Born
Greece
Alma materUniversity of Oxford, Imperial College London, University of Macedonia
Scientific career
FieldsMachine Learning
Doctoral advisorNando de Freitas, Shimon Whiteson

Biography

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. 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

His research focuses on:

Awards and Scholarships

Here is the list of awards and scholarships won by Yannis Assael:

  • Hellenic State Scholarships Foundation full scholarship for MSc in Computer Science, University of Oxford, 2013-2014.
  • Tony Hoare Prize for “Best overall performance in the MSc in Computer Science”, University of Oxford, 2014.
  • Oxford - Google DeepMind Graduate Scholarship full scholarship for DPhil in Machine Learning, University of Oxford, 2015 - 2019.

References
  1. "Yannis Assael". DeepMind. Retrieved 11 August 2020.
  2. "Yannis Assael". Whiteson Research Lab. Retrieved 28 August 2020.
  3. "Can you solve the 'hat riddle' set by Google in job interviews?". www.independent.co.uk. Retrieved 2020-08-28.
  4. "AI solves 100-hat puzzle used in Google job interviews". New Scientist. Retrieved 28 August 2020.
  5. "Can you solve the '100 hat riddle' used by Google in job interviews". Independent. Retrieved 28 August 2020.
  6. Foerster, Jakob N. Assael, Yannis M. de Freitas, Nando Whiteson, Shimon (2016-05-21). Learning to Communicate with Deep Multi-Agent Reinforcement Learning. OCLC 1106238526.CS1 maint: multiple names: authors list (link)
  7. "AI that lip-reads 'better than humans'". BBC News. 2016-11-08. Retrieved 2020-08-28.
  8. "Can deep learning help solve lip reading?". The Verge. Retrieved 28 August 2020.
  9. Assael, Yannis M. Shillingford, Brendan Whiteson, Shimon de Freitas, Nando (2016-11-05). LipNet: End-to-End Sentence-level Lipreading. OCLC 1106250159.CS1 maint: multiple names: authors list (link)
  10. "Restoring ancient text using deep learning: a case study on Greek epigraphy". Deepmind. Retrieved 2020-08-28.
  11. "Oracle of AI solves classic ancient conundrums". The Times. Retrieved 31 August 2020.
  12. "AI is helping scholars restore ancient Greek texts on stone tablets". Tech Crunch. 19 October 2019. Retrieved 31 August 2020.
  13. Assael, Yannis; Sommerschield, Thea; Prag, Jonathan (2019). "Restoring ancient text using deep learning: a case study on Greek epigraphy". Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Stroudsburg, PA, USA: Association for Computational Linguistics: 6367–6374. arXiv:1910.06262. doi:10.18653/v1/d19-1668. S2CID 202781916.
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