Scientists Want to Use AI to Track Elusive Particles in the World’s Most Powerful Collider

Muons are a key subatomic particle in the discovery of new physics, but after particle collision, they’re difficult to track.

Predicting genetic risk for type 1 diabetes just got more accurate thanks to machine learning study

In people with type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...

A new algorithm can spot who may be headed for self-harm before warning signs become obvious

Depression, one of the most widespread mental health disorders, is characterized by a persistent low mood and a loss of ...
Frontiers

Computational modelling and AI for Brain and Behaviour: integrating prediction with inference

Computational modelling, machine learning, and broader artificial (AI) intelligence approaches are now key approaches used to understanding and predicting ...
Knowridge Science Report

AI shows two main Parkinson’s types and five subgroups

Researchers in Belgium have discovered that Parkinson’s disease may consist of several hidden subtypes rather than one single disorder. Using artificial intelligence and machine learning, scientists ...