This important study uses a tripartite transdiagnostic computational framework to distinguish depression-specific, anxiety-specific, and shared psychopathology dimensions, in their relationships to ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

From weather apps to AI-powered simulations, students now have abundant resources to combine MATLAB, Python, and collaborative cloud tools like Google Colab. These platforms make it easier to learn, ...

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...

The prediction market Kalshi suspended three political candidates from its platform on Wednesday for “political insider ...

A quantum computer assists an AI model with calculations that would take weeks to figure out with a normal computer.

This valuable study addressed a key question in epilepsy research: whether the recordings of very fast oscillations in the brain (>250Hz, fast ripples) reflect underlying pathology or might be a ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

Climate change is drying out rivers across the country. A new AI forecasting tool can help managers, governments and water ...

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, ...