Tomáš Mikolov

Short description: Czech computer scientist

Tomáš Mikolov

Tomas Mikolov at NEURON 2018

Born| 1982

Šumperk

Citizenship| Czech
Alma mater| Brno University of Technology
Scientific career
Fields| Computer Science
Institutions| Johns Hopkins University
Université de Montréal
Microsoft
Google
Facebook

Tomáš Mikolov is a Czech computer scientist working in the field of machine learning. In March of 2020, Mikolov became a senior research scientist at the Czech Institute of Informatics, Robotics and Cybernetics.

## Career

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] Mikolov came up with the idea to generate text from neural language models in 2007 and his RNNLM toolkit was the first to demonstrate the capability to train language models on large corpora, resulting in large improvements over the state of the art.https://towardsdatascience.com/uncovering-the-pioneering-journey-of-word2vec-and-the-state-of-ai-science-an-in-depth-interview-fbca93d8f4ff

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

1. ↑ "Invited Talk at Brno University of Technology". http://vgs-it.fit.vutbr.cz/2016/12/14/tomas-mikolov-neural-networks-for-natural-language-processing/.
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" (in en). https://fasttext.cc/index.html.
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. http://ricaip.eu/tomas-mikolov-joins-ciirc-ctu/.
7. ↑ "Not Creating A.I. May Be a Bigger Threat to Humanity, Says Facebook Expert". https://www.inverse.com/article/48391-not-creating-a-i-may-be-a-bigger-threat-to-humanity-says-facebook-expert.

## External links

* Tomáš Mikolov publications indexed by Google Scholar

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Microsoft Research (MSR)

Main
projects|

| Languages and compilers|

* Polyphonic C#
* Cω
* Spec#
* Sing#
* Bartok
* F*
* Phoenix

|

Distributed/grid computing|

* Bigtop
* Gridline
* BitVault
* Orleans

Internet and networking|

* AjaxView
* Avalanche
* Conference XP
* Gazelle
* HoneyMonkey
* Penny Black
* Wallop

Other projects|

* Cognitive Toolkit
* IllumiRoom
* Image Composite Editor
* MyLifeBits
* LiveStation
* SLAM
* Terminator
* WorldWide Telescope
* PhotoDNA
* Z3 Theorem Prover

Operating systems|

* Barrelfish
* HomeOS
* Midori
* Singularity
* Verve

APIs|

* Joins
* Accelerator
* Dryad
* SXM

Launched as products|

* C#
* Comic Chat
* Detours
* F#
* Sideshow
* PixelSense (TouchLight)
* SenseCam
* ClearType
* Group Shot
* Allegiance
* TrueSkill
* Songsmith
* Xbox
* Kinect

MSR Labs
applied
research|

| Live Labs|

| Current|

* Pivot
* Seadragon
* Deep Zoom
* DeepZoomPix

|

Discontinued|

* Deepfish
* Listas
* Live Clipboard
* Photosynth
* Volta

FUSE Labs|

* Bing Twitter
* Docs.com
* Kodu

Other labs|

* Academic Search
* adCenter Labs
* Office Labs

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