Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Let the OSS Enterprise newsletter guide ...
When we were at school we probably believed that science and mathematics were primarily concerned with offering definitive answers. But grown-up scientists and engineers know that this is rarely the ...
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 ...
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 ...
Researchers are embarking on a pioneering endeavor to integrate an innately human characteristic, which is "uncertainty," into machine learning systems. This venture offers potential benefits in ...
As battlespace sensors proliferate and data increases, commanders can easily find themselves in an information paradox: drowning in data, but starving for knowledge. U.S. Marine Corps Lt. Col. Pedro ...
Breast cancer is the most common cancer with the highest mortality rate. Swift detection and diagnosis diminish the impact of the disease. However, classifying breast cancer using histopathology ...
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