Researchers have developed a new forecasting model that helps companies more accurately estimate how many customers are interested in a product -- even when key data is missing. The study introduces a ...

Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help ...

Food insecurity identification modeling for Medicare can establish a reliable method of prioritizing members at risk of food ...

An international team led by researchers at the Institute of Cosmos Sciences of the University of Barcelona (ICCUB) has developed a new method that could significantly improve our understanding of the ...

A Finnish-Norwegian research group has investigated model chains for horizontal-to-vertical solar irradiance conversion in east-west oriented vertical PV systems located at high latitudes. They have ...

Researchers from Carnegie Mellon University and Los Alamos National Laboratory have used machine learning to create a model that can simulate reactive processes in a diverse set of organic materials ...

Researchers at the Department of Energy’s Oak Ridge National Laboratory (ORNL) have developed a dynamic modeling method that uses machine learning to provide accurate simulations of grid behavior and ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

New research reveals a statistical technique used in Alzheimer's drug trials inflates clinical efficacy claims by 29x.

The universe may not be perfectly uniform after all, a new series of papers hints. If confirmed, this could upend a nearly ...