Big Code: Scalable analysis of large programme bases (Q19819)

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Revision as of 12:25, 25 February 2020 by DG Regio (talk | contribs) (‎Created claim: summary (P836): In the context of the BigCode project in Prague, the Faculty of Information Technology (FIT) will be created by the Institute for scalable analysis of the Code (ISCA), the first R & D in the Czech Republic to analyse the large-scale basis of programming codes on the Internet which represents a huge yet untapped knowledge potential. The BigCode aims to analyse and enable an understanding of the information gathered through the use of programming...)
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Project in Czech Republic financed by DG Regio
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Big Code: Scalable analysis of large programme bases
Project in Czech Republic financed by DG Regio

    Statements

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    40,275,766.44 Czech koruna
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    1,611,030.6576 Euro
    10 January 2020
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    56,448,166.0 Czech koruna
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    2,257,926.64 Euro
    10 January 2020
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    71.3499999982285 percent
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    1 January 2019
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    30 June 2022
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    30 March 2021
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    České vysoké učení technické v Praze
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    50°5'39.41"N, 14°20'3.98"E
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    50°6'17.86"N, 14°22'51.35"E
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    16000
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    V rámci projektu BigCode bude na ČVUT v Praze, Fakultě informačních technologií (FIT) vytvořen Institut pro škálovatelnou analýzu kódu (ISCA), první VaV v ČR zaměřené na analýzu rozsáhlých bází programových kódů na Internetu, které představují obrovský, zatím nevyužitelný, znalostní potenciál. Projekt BigCode si klade za cíl tuto bázi pomocí technik programovacích jazyků a statistického strojového učení zanalyzovat a umožnit porozumění získaným informacím. a. (Czech)
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    In the context of the BigCode project in Prague, the Faculty of Information Technology (FIT) will be created by the Institute for scalable analysis of the Code (ISCA), the first R & D in the Czech Republic to analyse the large-scale basis of programming codes on the Internet which represents a huge yet untapped knowledge potential. The BigCode aims to analyse and enable an understanding of the information gathered through the use of programming languages and statistical techniques. (English)
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    Identifiers

    CZ.02.1.01/0.0/0.0/15_003/0000421
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