Research and development work on the development of a system of automatic identification of devices in DataCenter and their configuration recognition (SIMON DC) using machine learning and artificial intelligence techniques. (Q4426697): Difference between revisions
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Research and development work on the development of a system of automatic identification of devices in DataCenter and their configuration recognition (SIMON DC) using machine learning and artificial intelligence techniques. | |||
| Property / summary | |||
The project consists of carrying out R & D works on the development of SIMON DC system for automatic identification of devices in the Data Center (hereinafter also: DC) and recognising their configuration using machine learning techniques (hereafter also: Ml) and artificial intelligence (hereafter also: A.I.). The result of the project will be the launch of an innovative system of automatic identification of devices in the Data Center and their configuration recognition. The SIMON DC system will have innovative features at least on a national scale. The implementation of the project will cover 4 research stages and implementation of the implementation component. The project will be implemented between 01.11.2020 and 30.09.2021. (English) | |||
| Property / summary: The project consists of carrying out R & D works on the development of SIMON DC system for automatic identification of devices in the Data Center (hereinafter also: DC) and recognising their configuration using machine learning techniques (hereafter also: Ml) and artificial intelligence (hereafter also: A.I.). The result of the project will be the launch of an innovative system of automatic identification of devices in the Data Center and their configuration recognition. The SIMON DC system will have innovative features at least on a national scale. The implementation of the project will cover 4 research stages and implementation of the implementation component. The project will be implemented between 01.11.2020 and 30.09.2021. (English) / rank | |||
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Revision as of 21:27, 21 October 2022
Project Q4426697 in Poland
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Research and development work on the development of a system of automatic identification of devices in DataCenter and their configuration recognition (SIMON DC) using machine learning and artificial intelligence techniques. |
Project Q4426697 in Poland |
Statements
1,426,991.0 zloty
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317,220.1 Euro
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2,499,633.52 zloty
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555,668.53 Euro
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57.09 percent
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1 February 2022
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31 December 2022
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"PROINTEGRA" SPÓŁKA AKCYJNA
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Projekt polega na przeprowadzeniu prac B+R nad opracowaniem systemu SIMON DC do automatycznej identyfikacji urządzeń w Data Center (dalej również: DC) i rozpoznawania ich konfiguracji z wykorzystaniem technik uczenia maszynowego (dalej również: ML) i sztucznej inteligencji (dalej również: AI). Rezultatem projektu będzie wprowadzenie na rynek innowacyjnego systemu automatycznej identyfikacji urządzeń w Data Center i rozpoznawania ich konfiguracji. System SIMON DC będzie posiadał innowacyjne cechy co najmniej w skali kraju. Realizacja projektu obejmie 4 etapy badawcze oraz realizację komponentu wdrożeniowego. Projekt będzie realizowany w okresie od 01.11.2020 do 30.09.2021 r. (Polish)
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The project consists of carrying out R & D works on the development of SIMON DC system for automatic identification of devices in the Data Center (hereinafter also: DC) and recognising their configuration using machine learning techniques (hereafter also: Ml) and artificial intelligence (hereafter also: A.I.). The result of the project will be the launch of an innovative system of automatic identification of devices in the Data Center and their configuration recognition. The SIMON DC system will have innovative features at least on a national scale. The implementation of the project will cover 4 research stages and implementation of the implementation component. The project will be implemented between 01.11.2020 and 30.09.2021. (English)
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WOJ.: ŚLĄSKIE, POW.: Katowice
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Identifiers
RPSL.01.02.00-24-0AC9/20
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