Verbund - KI: Energie- und ressourceneffiziente künstliche Intelligenz für moderne IoT-Anwendungen (TinyAIoT)
Basic data for this project
Type of project: Participation in other joint projects
Duration at the University of Münster: 01/01/2023 - 31/12/2025
Description
Keywords: Internet of Things; Tiny AI; Artificial Intelligence, ressource efficiency
Funding identifier: 67Kl32003A
Funder / funding scheme:
- Federal Ministry for the Environment, Climate Action, Nature Conservation and Nuclear Safety
Project management at the University of Münster
| Gieseke, Fabian | Chair of Machine Learning and Data Engineering (Prof. Gieseke) (MLDE) |
| Schwering, Angela | Professur für Geoinformatik (Prof. Schwering) (SIL) |
Applicants from the University of Münster
| Gieseke, Fabian | Chair of Machine Learning and Data Engineering (Prof. Gieseke) (MLDE) |
| Schwering, Angela | Professur für Geoinformatik (Prof. Schwering) (SIL) |
Management / project coordination at the University of Münster
| Räckers, Michael | Department of Information Systems (WI) |
Research associates from the University of Münster
| Bartoschek, Thomas | Professur für Geoinformatik (Prof. Schwering) (SIL) |
| Karic, Benjamin | Betriebseinheit für die Lehreinheit Geowissenschaften I |
| Niers, Tom | Professur für Geoinformatik (Prof. Schwering) (SIL) |
Project partners outside the University of Münster
- Reedu GmbH & Co. KG (re:edu)Germany