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 ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

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 ...

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 ...

The Kuwait National Petroleum Co. (KNPC) recently hired Foster Wheeler USA Corp. to complete a detailed tankage and hydraulic study, which would assess the adequacy of existing tank farms at all three ...

Three methods for testing functional equivalence are currently available to designers — conventional simulation, cone-based equivalence checking, and symbolic simulation. Most designers are familiar ...

Libraries play a crucial role in the entire design verification and implementation flow (DVIF). Specifically for PA design verification and implementation, special design attributes are mandatory in ...

In this special guest feature from Scientific Computing World, Gemma Church writes that the aerospace industry is stuck in the past – but it isn’t due to a lack of new simulation and modeling ...