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.

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 ...

VIJAYAWADA: Venkata Sree Karthikeya Gattupalli, a tech entrepreneur with roots in Tadepalli, has been selected to present his ...

I didn’t even realize that those were questions you could ask,” he says, “and then that there were philosophical disciplines ...

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 ...

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 ...

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 ...

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

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