Fourteen-year-old Zeynep Demirbas tested four AI models on 3,553 Reddit posts to see how accurately they could detect stress.

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

Exercise training is a cornerstone of cardiac rehabilitation (CR) for patients with coronary artery disease (CAD), and ...

An 18-year-old California student developed a model that estimates EV battery health with a reported prediction error of just ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...

Preeclampsia with severe features remains a dangerous threat during pregnancy—especially in low-resource settings like ...

Artificial intelligence has analyzed data scattered across hundreds of research papers to discover new lead-free dielectric ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Methane-munching microbes in soil might be more important than previously thought, a new study finds. Soil is an important ...

Dedeepya Yarra's interdisciplinary research interest is the intersection of machine-learning research and cybersecurity, ...