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 ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

Researchers at Georgia Tech say they have developed a system to help answer that question. Known as FIRA, the tool analyzes ...

While the proof-of-concept technology could revolutionize early dementia detection, experts urge caution regarding implementation timelines.

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 ...

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

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...

A tandem neural network capable of inferring key physical parameters of semiconductor materials from simple transistor measurements has been developed, as reported by researchers from the Institute of ...