Scientist Yi Nian is sharing his machine-learning expertise with the world in his latest co-authored publication, “Globally Interpretable Graph Learning via Distribution Matching.” SEATTLE, Wash. - ...

In an era where data breaches make headlines weekly and privacy regulations tighten globally, artificial intelligence faces a ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

A machine learning model based on electronic health record data can provide updated predictions of preeclampsia risk, ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...