Article] Critical Flaws in PHP and the Limits of Probabilistic Model AI: The Inevitability of 'Deterministic Defense' as ...

A new perspective argues that a rich class of probability models known as Markov modulated models could transform how ...

A technical survey finds that reliable physical AI depends on co-designing learned world models, uncertainty representation, ...

For humans and machines, intelligence requires making sense of the world — inferring simple explanations for the mishmosh of information coming in through our senses, discovering regularities and ...

AM, my Mac quietly wakes up and automatically crawls through over 1,400 news items that have flowed onto the internet ...

Results of a new study by Northwestern University researchers will help earthquake scientists better deal with seismology's most important problem: when to expect the next big earthquake on a fault.

Probabilistic graphical models are a powerful technique for handling uncertainty in machine learning. The course will cover how probability distributions can be represented in graphical models, how ...