Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

The patent filing covers a machine learning-based demand platform optimisation system designed to improve ad delivery ...

Using machine learning, researchers mapped a 250-kilometer earthquake cluster along the Yakutat slab edge, revealing ...

Seattle-based Overland AI won a Marine Corps contract to produce more than a dozen autonomous ground vehicles, which the ...

Machine learning helped identify new superconductors and a process that could speed the discovery of thousands more ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.

It provides machine learning and other AI customers with an extensive software library to help with the deployment of their ...