The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Machine learning has rapidly become integral to the advancement of geoscience, a field inundated with complex and multivariate data from myriad sources such ...

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

Do you agree? Data normalization isn’t the finish line. Harmonization is. Even after basic normalization, datasets can drift ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Researchers at College of Food, Agricultural and Natural Resource Sciences are using AI to detect patterns across landscapes, atmospheres and ecosystems at scales that were previously impossible.

AI’s greatest economic impact will come not from automating tasks but from dramatically lowering the “translation” costs that keep teams, tools, and data from working together. By extracting structure ...

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.

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...