Mathematicians have developed a new approach to machine learning aimed at experimental imaging data. Rather than relying on the tens or hundreds of thousands of images used by typical machine ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

What a machine learning tool that turns Obama white can (and can’t) tell us about AI bias A striking image that only hints at a much bigger problem ...

Most image recognition algorithms require lots of labeled pictures. This new approach eliminates the need for most of the labeling.

A new AI study describes a machine learning algorithm that was able to classify schizophrenia, based on brain images, with 87 percent accuracy.

An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing.

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed ...

It doesn’t take much to make machine-learning algorithms go awry The rise of large-language models could make the problem worse ...