This study highlights non-linear center-of-pressure features that enhance clinical assessment of fall risk in older adults, ...

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.

A new study shows that self-supervised artificial intelligence may offer a more practical path for detecting concrete cracks ...

Major release delivers seamless Ignition SCADA, enterprise-grade security, advanced ML algorithms, and private cloud ...

Heterogeneous catalysis—in which catalysts and reactants are of different phases, e.g., solid and gas—is important to many ...

A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...

This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...

Abstract: This study addresses the lack of comprehensive evaluations of feature scaling by systematically assessing 12 techniques, including less common methods such as VAST and Pareto, in 14 machine ...