Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

A new machine learning method from Rice University helps scientists better understand the unique light signatures of ...

The Rice University solution is termed Peak-Sensitive Elastic-net Logistic Regression, or PSE-LR, a method tailored for spectral analysis. PSE-LR includes computational steps intended to more ...

Subtle differences in how people grasp everyday objects may help identify autism, according to a new study published in ...

Despite substantial advancements in the management of cardiogenic shock, mortality rates remain greater than 40%. Trials have ...

Combining this information with current and historical satellite data, they trained a machine-learning algorithm to assess ... a new method for evaluating the differences in land covers over ...