A Michigan Tech-developed machine learning model uses probability to more accurately classify breast cancer shown in histopathology images and evaluate the uncertainty of its predictions. Breast ...

The Standard Model of particle physics offers a robust theoretical picture of the fundamental particles, and most fundamental forces which compose the universe. All the same, there are several aspects ...

Two studies published in 2022 demonstrate machine learning techniques employed to reduce uncertainty in atomic force microscopy (AFM). Making AFM more accurate with artificial intelligence (AI) could ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

A new analysis shows that researchers using machine learning methods could risk underestimating uncertainties in their final results. A new analysis shows that researchers using machine learning ...