Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

Five decades have passed since Emile Zuckerkandl and Linus Pauling first proposed the molecular clock hypothesis. The molecular clock has become an essential tool in evolutionary biology, from ...

BACKGROUND Much of our knowledge of the epidemiology and demography of HIV epidemics in Africa is derived from models fit to sparse, non-representative data. These often average over age and other ...

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...

After taking it on the chin for previously reporting Bayesian estimates, actual 2-year data from the EVOLUT Low Risk trial confirm that transcatheter aortic valve replacement (TAVR) is noninferior to ...

Despite knowing when life first appeared on Earth, scientists still do not understand how life occurred, which has important implications for the likelihood of finding life elsewhere in the universe.

Extended educational sessions that offer attendees the opportunity to learn research methods and techniques from prominent psychological scientists.