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 ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

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

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

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

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...

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 ...

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

An update to the markets of Lionel Messi has led experts to update predictions and odds for the Argentina–Cape Verde match on ...

In 2026, prediction systems are evolving less because of changes in user behavior and more because of improvements in the technology underneath them. Better data pipelines, faster computing, and more ...

Wildfires are becoming more frequent and more intense worldwide. Fires often become infernos because of heat, drought and wind, especially in the summer. The problem is compounded by the climate ...

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