Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.