including conjugate and predictive distributions; utility theory foundations, risk preference, multiattribute utility; applications such as earthquake risk analysis, pumped storage sitting, setting ...

Insurance has been fertile ground for artificial intelligence innovation, working as it does at the nexus of giant datasets, ...

The following have been introduced through the Department of Chemical Engineering and other units in support ... inherently safer design, process hazard analysis, quantitative risk analysis, fire ...

At the heart of our risk assessment process are ML models ... By capturing new data sources—combined with ongoing data engineering to improve model performance and keen account monitoring ...

Risk assessment is an iterative four-step process that provides information on the probability of adverse effects following chemical exposures. Hazard Identification (HI) identifies adverse effects ...

The SAIF Risk Assessment tool has been designed to help ... alongside the vice president of engineering for privacy, safety and security, Royal Hansen. “In the pursuit of progress within these ...