Microsoft commits $2.5 billion to AI innovation, fueling advancements in technology and redefining industry standards for the future.

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 ...

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 ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Environmental pollution is inherently interconnected across air, water, and soil systems. Contaminants migrate through ...

A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

New machine learning framework predicts promising nucleoside hydrogels before they are synthesized and tested in the ...

Pediatric hospital medicine is rapidly advancing with new research focusing on clinical management, quality improvement, health equity, and technology. This summary highlights the top articles from ...

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 ...

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 ...