A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

For years, the Prairie Pothole Region has bothered me in a very specific way. On a map, it looks like a normal landscape: ...

Using AI to identify wildlife reveals a potential "transferability crisis," researchers say. Marketing for AI imaging systems often suggests that models can easily tackle novel scenarios across ...

A research team led by Dr. Jeong Min Park of the Nano Materials Research Division at the Korea Institute of Materials Science ...

A study published in The Journal of Engineering Research at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease.

Depression affects more than 280 million people worldwide and remains widely underdiagnosed due to the absence of reliable, objective biomarkers. Subtle changes in speech and acoustic features are ...

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...

ABSTRACT: Cognitive impairment is a frequent and debilitating outcome of stroke, profoundly affecting patient independence, recovery trajectories, and long-term quality of life. Despite its prevalence ...