Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

The technology detects unique volatile organic compounds each mold species emits, creating distinct “odor signatures” the ...

As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

Cybersecurity experts predicted big changes for 2025. We looked back to see which forecasts came true, which fell flat, and ...

Published in ACS Catalysis on December 21, 2025, the article introduces ChemOntology, a new artificial intelligence system that rapidly explores and analyzes chemical reactions using human-like ...

There are several methods for detecting whether a piece of text was written by AI. They all have limitations – and probably ...