In quantum mechanics, the Heisenberg uncertainty principle dictates that the position and speed of an object cannot both be known fully precisely at the same time. Researchers now show that two ...

Abstract: In this talk, we discuss the construction of admissible, physics-consistent and identifiable stochastic models for uncertainty quantification. We first consider a continuum mechanics setting ...

Heisenberg's uncertainty principle tells us that it is impossible to simultaneously measure the position and momentum of a particle with infinite precision. In our everyday lives we virtually never ...

A breakthrough that got credit for “simplifying” quantum physics could wipe away some of its more troubling contradictions by pointing out that even those who can calculate it precisely don’t always ...

Researchers are developing a way to incorporate one of the most human of characteristics -- uncertainty -- into machine learning systems. Researchers are developing a way to incorporate one of the ...

Researchers are embarking on a pioneering endeavor to integrate an innately human characteristic, which is "uncertainty," into machine learning systems. This venture offers potential benefits in ...