Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.

For decades, scientists have worked to improve predictions of El Niño-Southern Oscillation (ENSO), a climate powerhouse that ...

A team of international researchers, including an Aston University researcher, has cracked the code on how "breather" laser ...

Control systems shape the performance of technologies from autonomous vehicles to power plants. With MATLAB and Simulink, you can virtually model, design, and optimize controllers before deploying ...

New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that ...

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

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 ...

APOLLO is a multimodal temporal foundation model trained on 25.2 billion medical events from 7.2 million patients across 33 ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...

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

Recent advances in hydrological science highlight the urgent need for robust and adaptive modeling approaches to support effective disaster management in ...

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