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

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Revision as of 17:23, 22 October 2020 by DG Regio (talk | contribs) (‎Created claim: summary (P836): As part of the BigCode project, the Institute for Scalable Code Analysis (ISCA) will be created at the Czech Technical University in Prague, Faculty of Information Technology (FIT), the first R & D in the Czech Republic focused on analysing large bases of program codes on the Internet, which represent huge, yet unusable, knowledge potential. The BigCode project aims to analyse this base using programming language techniques and statistical machi...)
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Project in Czech Republic financed by DG Regio
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The Big Code: Scalable analysis of large programme bases
Project in Czech Republic financed by DG Regio

    Statements

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    40,275,766.5 Czech koruna
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    1,611,030.66 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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    71.35 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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    As part of the BigCode project, the Institute for Scalable Code Analysis (ISCA) will be created at the Czech Technical University in Prague, Faculty of Information Technology (FIT), the first R & D in the Czech Republic focused on analysing large bases of program codes on the Internet, which represent huge, yet unusable, knowledge potential. The BigCode project aims to analyse this base using programming language techniques and statistical machine learning to analyse and enable the understanding of the information obtained. a. (English)
    22 October 2020
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    Identifiers

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