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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