A particular set of probabilistic inference algorithms common in robotics involve Sequential Monte Carlo methods, also known as "particle filtering," which approximates using repeated random sampling.

Podcast: In this episode, host Özge Gürcanlı Fischer Baum teams up with Simon Goldberg from the University of Wisconsin to explore a critical question: “How does the “dosage” of meditation app use ...

How accurate is astrology? We put 152 astrologers to the test, asking them to match natal charts to personality profiles. The ...