A three-day workshop on data analytics for simulation data using machine learning will be organized by the Fraunhofer SCAI in cooperation with the High-Performance Computing Center Stuttgart (HLRS) on 20-22 April 2026.
The workshop addresses the preparation, analysis, and interpretation of numerical simulation data by machine learning methods. Besides the introduction of the most important concepts like clustering, dimensionality reduction, visualization, and prediction, this course provides several practical hands-on tutorials using the Python libraries NumPy, scikit-learn and PyTorch as well as the SCAI DataViewer (see the SimExplore tool).
