Machine learning-assisted metal additive manufacturing has been widely applied in performance optimization and control, such as process parameter optimization, structural optimization of formed parts, ...

University of Sheffield researchers developed a machine learning framework to improve coating properties in a roll-to-roll slot die coating process. The work is seen as an initial step toward broader ...

The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...