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Petr Baudis

From EverybodyWiki Bios & Wiki

Petr Baudis is an entrepreneur, programmer and artificial intelligence researcher. He is a co-founder of Rossum, an AI research company where he leads the technology development..[1] He has also made a range of open source contributions and pursued research in Computer Go and Natural Language Processing.

He obtained his Bachelor Degree and Masters Degree in computer science from the Charles University in Prague. He has been named one of the 2017 Financial Times New Europe 100 Challengers.[2]

Open Source Contributions[edit]

Petr Baudis has founded and maintained several well-known open source projects - the ELinks text-mode web browser,[3] Cogito user interface for Git,[4] and the Pachi Go-playing program.[5] He has also been one of the earliest regular contributors to the Git version control system ,[6] the GNU libc library,[7] and the FreeCiv[8] and OpenTTD games.[9]

Related to his work on the early versions of Git, he also launched the first Git project freehosting service repo.or.cz.

Research Projects[edit]

Petr Baudis created the Pachi open source Computer Go program,[10] which was for several years the strongest open source program (until the renaissance of neural network approaches). His scientific contributions include the dynamic komi research,[11] and pointing out the time management importance.[12] He collaborated with Jean-Loup Gailly on multi-host Monte Carlo Tree Search scaling research.[13] Pachi has been long used as a standard reference player in Computer Go research, including the AlphaGo Nature paper.[14]

In 2014, he founded the YodaQA open source question answering system inspired by the IBM Watson DeepQA system.[15] Aside from being the most accurate open source system,[16] he also used it as a foundation for deep learning based NLP research in the sentence pair scoring task[17] [18] [19] and textual entailment.[20]

Some minor research projects include his work on portfolio approaches for continuous black-box optimization[21] and a collaboration on NemaLoad, a microscopy-based extraction of neural activations from nematodes[22]

Petr Baudis co-founded, and as of 2018 leads the technology R&D at Rossum, an AI company that uses a unique approach based on Computer Vision neural networks to extract information from business documents (such as invoices) based on their visual layout.[23] [24]

References[edit]

  1. "About Rossum". Rossum Homepage. Retrieved June 20, 2018.
  2. "New Europe 100: eastern Europe's emerging technology stars". Financial Times. November 23, 2017. Retrieved June 20, 2018.
  3. "The ELinks Manual". ELinks. Retrieved June 21, 2018.
  4. "Cogito:Human-suitable Interface for Git". Git. Retrieved June 21, 2018.
  5. "AI Technologies hit the Go World". European Go Federation. Retrieved June 22, 2018.
  6. "Git- Fast Version Control System". Git. Retrieved June 21, 2018.
  7. "GNU C Library- News". Savannah. Retrieved June 21, 2018.
  8. "People". Fandom. Retrieved June 21, 2018.
  9. "OpenTTD". Github. Retrieved June 21, 2018.
  10. "Pachi: Software for the Board Game of Go/Weiqi/Baduk". Retrieved June 21, 2018.
  11. "Balancing MCTS by Dynamically Adjusting Komi Value" (PDF). Pasky. Retrieved June 21, 2018.
  12. "Time Management for Monte-Carlo Tree Search in Go" (PDF). Semanic Scholar. Retrieved June 21, 2018.
  13. "Pachi: State of the Art Open Source Go Program" (PDF). Semantic Scholar. Retrieved June 21, 2018.
  14. "Mastering the game of Go with deep neural networks and tree search". nature. Retrieved June 21, 2018.
  15. "YodaQA: A Modular Question Answering System Pipeline" (PDF). Pasky. Retrieved June 21, 2018.
  16. "Systems and Approaches for Question Answering" (PDF). Pasky. Retrieved June 21, 2018.
  17. "Sentence Pair Scoring: Towards Unified Framework for Text Comprehension" (PDF). Semantic Scholar. Retrieved June 21, 2018.
  18. "dataset-sts". Github. Retrieved June 21, 2018.
  19. "Memory Networks for Language Understanding-Slide 82" (PDF). The Sperm Whale. Retrieved June 21, 2018.
  20. "Joint Learning of Sentence Embeddings for Relevance and Entailment". Cornell University Library. arXiv:1605.04655. Retrieved June 21, 2018.
  21. "Online Black-box Algorithm Portfolios for Continuous Optimization" (PDF). Pasky. Retrieved June 21, 2018.
  22. "Nemaload: People". Nemaload. Retrieved August 25, 2015.
  23. "About Rossum". Rossum Homepage. Retrieved June 20, 2018.
  24. "Exclusive Interview:Rossum- AI for Documents". Startup Yard. Retrieved June 22, 2018.


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