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

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

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 ...

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 ...

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

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

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

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

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...