Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Organizations are looking to artificial intelligence to bolster how they do simulations, leading to faster innovation and ultimately better products. In association withSiemens Digital Industries ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Driven by the need to objectively measure the progress of their verification efforts and the contributions of different verification techniques, IC designers have adopted coverage as a metric. However ...

Carbon capture and storage (CCS) project sanctioning requires reasonable estimates of CO 2 storage volume and plume migration in the reservoir. Numerical simulation based on geological data provides ...