The research addresses a fundamental challenge in modern education: the lack of cohesive insights from disparate student data ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.

Data from microplastic analyses can inform health recommendations and policy decisions. Machine learning is one tool researchers have started using.

The researchers analyzed both fNIRS data and information collected from the patients during clinical assessments using various state-of-the-art machine learning models.

With EHR data, Ray and his team use a technique called causal machine learning. "Causal machine learning creates a sort of synthetic clinical trial," he said.

To quickly sort through such a huge data set, they've turned to machine learning, a way of using computers to identify patterns and make predictions based on the information.

To quickly sort through such a huge data set, they've turned to machine learning, a way of using computers to identify patterns and make predictions based on the information.