Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Now, researchers at the University of Chicago Pritzker School of Molecular Engineering (UChicago PME) have built a ...

Periodic maintenance is common too, but still inefficient and often based on time, not actual machine condition. That ...

A specially trained algorithm could aid the search for biological activity both on the early Earth and on other worlds.

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a match is found with a donor who dies after cardiac arrest following the ...

In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...

The varied topography of the Western United States—a patchwork of valleys and mountains, basins and plateaus—results in minutely localized weather. Accordingly, snowfall forecasts for the mountain ...