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How experts use automated Ansys processes to generate high-quality data sets for machine learning

AI-generated results are produced quickly. But where does cleverly selected training data come from to obtain credible results? In this series, Daniel and Kevin show how you can automatically generate samples via simulation calculations in Ansys… and how to select them in a clever way to maximize the predictive quality of your AI model. The Ansys Workbench projects are automated either with python, APDL or pyDPF. And the outputs of the training data shown range from individual parameters and curves to complete fields such as the stress field of a reshaped snap spring. This series is a must for all AI enthusiasts! Please note, lecture language is German!