Deep Learning despite sparse data

DFG research group focuses on evaluation of chemical process data

29-Jul-2022 - The German Research Foundation (DFG) is funding the new research group "Deep Learning on sparse chemical process data" for four years with around 3.5 million euros. It is coordinated at the Technical University of Kaiserslautern (TUK). The group is working on making Deep Learning methods, a ...

Materials Testing: Detecting damages in non-magnetic steel through magnetism

24-Jul-2018 - Wear, corrosion, material fatigue - these signs of degradation are common to most materials. This makes it all the more important to detect damage early, preferably on the micro scale. Magnetic test methods are often used for this purpose, which was previously impossible with non-magnetic steel. ...