Researchers used machine learning and UK Biobank data to identify predictors of subjective tinnitus presence and severity.

Healthy hearts are adaptable, and heartbeats exhibit complex variation as they adjust to tiny changes in the body and ...

Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...

This article explores the global regulatory landscape, examining how leading authorities in the U.S., EU, U.K., Canada, China ...

Forward-thinking companies consider AI in product development to meet the demand for intelligent devices. In other words, ...

Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

A research team from Helmholtz Munich, the Technical University of Munich (TUM) and the TUM University Hospital has developed ...

After uncovering a unifying algorithm that links more than 20 common machine-learning ... everything from classification algorithms that can detect spam to the deep learning algorithms that ...

Deep learning — which uses multilayered neural networks to elicit patterns from data — was getting really hot back then. There was already a lot of excitement about applications in image ...

Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning ... At the heart of their framework is a simple idea: most algorithms can be re-written in terms of ...