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 ...

People's bodies can be old or young for their chronological age, depending, in part, on the amount and types of stressors ...