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 | |
| Schwering, Angela |
Applicants from the University of Münster
| Gieseke, Fabian | |
| Schwering, Angela |
Management / project coordination at the University of Münster
| Räckers, Michael |
Research associates from the University of Münster
| Bartoschek, Thomas | |
| Karic, Benjamin | |
| Niers, Tom |
Project partners outside the University of Münster
- Reedu GmbH & Co. KG (re:edu)Germany
Publications of the University of Münster resulting from the project
Benjamin Karic, Nina Herrmann, Jan Stenkamp, Paula Scharf, Fabian Gieseke, Angela Schwering (2025) In: arXiv:2510.24829::2510.24829. Research article in digital collection | Preprint | Published |