The Importance of Uncertainty Quantification for Deep Learning Models in CAE

When issuing a prediction, one can question human or artificial intelligence on how much she/it is sure about the prediction. Without going into detail on the dramatic consequences of overconfident artificial agents in such situations as Autonomous Driving, this article will focus on the Neural Concept’s core competence: building predictive models that are surrogates of more resource-intensive CAE models.

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