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

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

Regularization stops ML routines from building too much on noise and outliers in its training data ... classification decision, which makes results easier to interpret, verify and act on. In trials ...

The Ministry of Communication and Digital claims to have learned from the approach in the European Union, Singapore, and ...

Rice researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially ...

The company's first product, Z-FIRE, launched in 2019, and was designed to provide precise, property-specific wildfire risk ...

An artificial intelligence (AI)-based model accurately classified pediatric sarcomas using digital pathology images alone, ...

The workshop aimed to address the pressing need for balanced regulation in the evolving field of artificial intelligence (AI) ...

The study demonstrates that AI can markedly enhance diagnostic accuracy in 2D mammographic screening, a method long regarded ...

This unsupervised technique automatically selects optimal parameters, discovering implicit risk factors through the semantic analysis of corporate publications, thereby creating a new class of ...