Creation, extension, application and maintenance of a machine learning toolkit for the development of innovative problem-solving approaches and expansion of the range of services (Q3532740): Difference between revisions
Jump to navigation
Jump to search
(Removed claims) |
(Changed an Item: import item from Germany) |
||||||
| Property / budget | |||||||
72,000.0 Euro
| |||||||
| Property / budget: 72,000.0 Euro / rank | |||||||
Normal rank | |||||||
| Property / EU contribution | |||||||
57,600.0 Euro
| |||||||
| Property / EU contribution: 57,600.0 Euro / rank | |||||||
Normal rank | |||||||
Revision as of 01:12, 21 November 2021
Project Q3532740 in Germany
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Creation, extension, application and maintenance of a machine learning toolkit for the development of innovative problem-solving approaches and expansion of the range of services |
Project Q3532740 in Germany |
Statements
57,600.0 Euro
0 references
72,000.0 Euro
0 references
80.0 percent
0 references
1 October 2019
0 references
30 September 2021
0 references
3plusplus GmbH
0 references
50°35'58.52"N, 10°42'15.62"E
0 references
50°35'58.52"N, 10°42'15.62"E
0 references
98527 Suhl
0 references
Ziel des zur Förderung beantragten Vorhabens ist die Entwicklung eines Software-Tools, das ermöglichen soll, Verfahren des maschinellen Lernens in die Softwarelösungen von 3plusplus anzuwenden. Des Weiteren sollen über das Tool Frameworks von Drittanbietern, wie z.B. MATLAB, TensorFlow, etc. zugänglich gemacht werden. Diese Ziele ergeben sich aus aktuellen Anforderungen der Kunden. Gemäß Schreiben vom 04.09.2019 sollen mit Hilfe der Werkzeugsammlung, Kundenanfragen in Bezug auf maschinelles Lernen schneller und effizienter gelöst werden können. (German)
0 references
The aim of the proposed project is to develop a software tool to enable machine learning processes to be applied to the software solutions of 3plusplus. Furthermore, the tool frameworks of third-party providers, such as MATLAB, TensorFlow, etc., should be made available. These goals result from current customer requirements. According to the letter of 4 September 2019, the tool collection aims to solve customer requests in relation to machine learning faster and more efficiently. (English)
17 November 2021
0 references
Identifiers
DE_TEMPORARY_ESF_128703
0 references