However, this methodology is slow, repetitive and expert-dependent. In this investigation, we address these issues by applying machine learning techniques to this global-local modelling framework and ...

Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. The Nucleotide ...

Risk detection plays a crucial role in care management and can potentially influence the progression of the disease.

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

The integration of machine learning in cancer imaging is revolutionizing diagnostics, improving detection and treatment ...

A manuscript on improving patient care through machine learning earned the American Medical Informatics Association’s Harriet H. Werley Award.

Southwest Research Institute (SwRI) collaborated with the Environmental Protection Agency (EPA) to characterize the chemical ...