ITS.ML: Maschinelles Lernen für Intelligente Technische Systeme
Ulrike Kuhl, André Artelt, Alexander Schulz, Malte Schilling, Johannes Kummert, Barbara Hammer
Duration: 2019 - 2022
Funding: German Federal Ministry of Education and Research (BMBF), German Aerospace Center (DLR)
The aim of ITS.ML is to make machine learning (ML) for intelligent technical systems (ITS) available in the long term. A particular focus is on establishing ML as a service for small and medium-sized enterprises (SMEs).
ITS.ML combines theoretical and practical competencies of proven research institutions for ML. Researchers from the University of Bielefeld, the University of Paderborn, the Technical University of Ostwestfalen-Lippe and the University of Applied Sciences Bielefeld have joined forces to provide ML approaches to practitioners in industry.
See our project’s webpage for more information about scope and results:
Our FIT.ML platform provides detailed descriptions of applied examples and hands-on reference implementations of our ML innovations: https://its-ml.de/index.php/fit-ml/