If you were small enough to fit inside an ant nest, you would hear it as much as you would see it. The walls shiver with tiny ...

By Dr. Liji Thomas, MD By merging voice instability, gait asymmetry, and tremor-driven handwriting changes into a single explainable AI framework, researchers show how digital biomarkers can move ...

A horse’s whinny can sound like two calls at once. One part sits low and rough, like a familiar mammal voice. Another rides high, almost piercing, and it does not seem to fit a 500-kilogram animal.

ISO 21018-1 enhances contamination monitoring with Dynamic Image Analysis, enabling detailed particle shape analysis and improving hydraulic system performance.

The origin of many diseases begins at the cellular level and involves multiple molecular interactions. However, previous methods have struggled to accurately observe changes in individual cells.

Various characterisation methods are used to detect and quantify wafer contamination. Fraunhofer IPMS has expanded these ...

A new machine learning model, TweetyBERT, automatically segments and classifies canary vocalizations with expert-level accuracy, offering a scalable platform for neuroscience, providing insights into ...

Crystal jellyfish have an eerie beauty: thanks to a natural protein, they emit a faint green glow. For decades, researchers have used that green fluorescent protein and similar molecules to light up ...

NIRS technology simplifies ice cream quality testing, providing fast, reliable data on fat, protein, and sugar content for enhanced production consistency.

In the fast-paced world of electronics testing and measurement, spectrum analyzers play a critical role in assessing and ...

A new AI-based system for analyzing images taken over time can accurately detect changes and predict outcomes, according to a new study. The system's sensitivity and flexibility could make it useful ...