Tomáš Mikolov

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Tomáš Mikolov
Tomas Mikolov.jpg
Tomas Mikolov at NEURON 2018
Born1982
CitizenshipCzech
Alma materBrno University of Technology
Scientific career
FieldsComputer Science
InstitutionsJohns Hopkins University
Université de Montréal
Microsoft
Google
Facebook

Tomáš Mikolov is a Czech computer scientist working in the field of machine learning. He is currently[when?] a Research Scientist at Czech Institute of Informatics, Robotics and Cybernetics.

Career[edit]

Mikolov obtained his PhD in Computer Science from Brno University of Technology for his work on recurrent neural network-based language models.[1][2] He is the lead author of the 2013 paper that introduced the Word2vec technique in natural language processing[3] and is an author on the FastText architecture.[4][5]

Prior to joining Facebook in 2014, Mikolov worked as a visiting researcher at Johns Hopkins University, Université de Montréal, Microsoft and Google.[citation needed] He left Facebook at some time in 2019/2020 to join the Czech Institute of Informatics, Robotics and Cybernetics.[6]

Mikolov has argued that humanity might be at a greater existential risk if an artificial general intelligence is not developed.[7]

References[edit]

  1. ^ "Invited Talk at Brno University of Technology".
  2. ^ Mikolov, Tomas (2012). Statistical Language Models Based on Neural Networks (PDF) (PhD). Brno University of Technology.
  3. ^ Mikolov, Tomas; Chen, Kai; Corrado, Greg; Dean, Jeffrey (2013-09-06). "Efficient Estimation of Word Representations in Vector Space". arXiv:1301.3781 [cs.CL].
  4. ^ "References · fastText". fasttext.cc. Retrieved 2021-07-29.
  5. ^ Joulin, Armand; Grave, Edouard; Bojanowski, Piotr; Mikolov, Tomas (2016-08-09). "Bag of Tricks for Efficient Text Classification". arXiv:1607.01759 [cs.CL].
  6. ^ "Tomáš Mikolov Joins CIIRC CTU | RICAIP | AI". 22 May 2020.
  7. ^ "Not Creating A.I. May Be a Bigger Threat to Humanity, Says Facebook Expert". Inverse. Retrieved 2019-09-21.

External links[edit]