The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

A DARPA-funded processor start-up has made bold claims about a new kind of processor that computes using probabilities, rather than the traditional ones and zeroes of conventional processors. Lyric ...