The aim of the TransML qualification concept is to improve the training and education of skilled workers and young academics in the field of machine learning. For this purpose, the previous experiences of the project partners in the field of machine learning will be summarized and transferred into procedural format for teaching and education. Theoretical basics, practiceoriented applications and current research results will be taken into account. The hardware and software components integrated in the qualification concept will also be used to ensure a improved level of teaching and training. To this end, various learning systems were procured within the project: a server for machine learning of the NVIDIA DGX-1 type, a workstation for experiments in automation and control technology, and the FESTO Robotino Premium robot system. The main result of the TransML project will be that students of the Schmalkalden University of Applied Sciences and trained specialists at the AST department of the Fraunhofer IOSB will be able to independently develop suitable methods of machine learning for different applications within practical phases and exercises.

Applied Systems Engineering (AST)
Division of the Fraunhofer Institute for Optronics
Systems Engineering and Image Evaluation

• Project Sponsors
  • German Aerospace Center - DLR Project Management Organization
• Grant Information
  • Supported by the Federal Ministry of Education and Research BMBF:
    • Project volume: 674,000 €
    • Application number: 01IS17079A
• Projektdauer
  • 11/2017 – 10/2019
• pdf: TransML - Transfer von Methoden des Maschinellen Lernens in Lehre, Weiterbildung, Forschung und Industrie