Into DeeP
| Reference number | |
| Coordinator | RISE Research Institutes of Sweden AB - RISE SICS Västerås AB |
| Funding from Vinnova | SEK 1 000 000 |
| Project duration | April 2018 - December 2018 |
| Status | Completed |
Important results from the project
The aim of the project is to contribute to technical transfer and increased competence which derives from the larger project DEEP, Deep Process Learning. The objective is to increase the knowledge level in industry within the areas artificial intelligence (AI), machine learning (ML) and deep learning (DL) through web-based training which is publicly available (OER, Open Educational Resources). The project has developed and launched four web-based training modules which are available on the website AIClass.se
Expected long term effects
The project has developed and launched four web-based training modules which are available on the website AIClass.se which will be administrated and further developed by Mälardalen University after the project. One expected effect is that the result of the project, the training modules, contributes to an increased understanding of AI, ML and DL in Swedish companies. A desired future effect is that the increased knowledge about the mentioned technologies makes investments more effective. Another expected effect is that this project leads to further collaboration within the area.
Approach and implementation
The result of the project, the web-based training modules, have been developed mainly by Mälardalens University and RISE SICS Västerås. The companies involved have provided industrial requirements and have also verified the material during the project. The project has been carried out in close collaboration with the larger DEEP project, Deep Process Learning (management, meetings etc).