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        SCALE Magazine

        ViPrIA | Virtual product development using intelligent assistance systems

        ViPrIA is a BMBF-funded project aimed at developing intelligent assistance systems based on Artificial Intelligence (AI) and Machine Learning (ML) to support engineers in simulation-driven virtual product development.

        ML@KaroProd | Machine Learning for Prediction of Process Parameters and Component Quality in Automotive Body Production

        ML@KaroProd | Machine Learning for Prediction of Process Parameters and Component Quality in Automotive Body Production Information Project name ML@KaroProd | Machine Learning for Prediction of Process Parameters and Component Quality in Automotive Body Production Content The ML@KaroProd project is a BMBF-funded project with the goal of, machine learning for the prediction of process parameters […]

        Social commitment: SCALE donates to the good cause

        In 2019 SCALE made donations to various charitable organizations.

        Application of Machine Learning Techniques through Simulation Data Management

        M. Thiele (SCALE)

        VDI Wissensforum, November 2019

        Parameter Prediction and Automated Generation of Joining Technologies in CAX Applications of Automotive Car Bodies

        M. Knorr (SCALE)

        Master's Thesis | University Stuttgart, October 2019

        On the Setup and Simulation of Large Scale LEGO Models Build with LS-DYNA and LoCo

        Presentation and paper from the 12th European LS-DYNA Conference 2019 in Koblenz.

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