The financial sector is heavily data driven. Every day, trillions of data is generated by the global financial system; these ...

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

A new machine learning algorithm excels at interpreting optical spectroscopy data of molecules, materials and disease ...

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...

In an era where digital payments and cybersecurity threats increasingly overlap, AI and machine learning have become ...

Swiss researchers use DXA data and machine learning to predict fracture risk in women, with logistic regression delivering ...

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 ...