Physicist Palmer delivers a challenging but rewarding look at how uncertainty helps scientists make sense of the world. Much of the work draws on “the science of chaos,” which Palmer writes has ...

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 ...

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 ...

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 ...

This course is available on the MSc in Philosophy and Public Policy, MSc in Philosophy of Economics and the Social Sciences and MSc in Philosophy of Science. This course is freely available as an ...

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 ...

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 ...

Drawing on captured Nazi documents found in Soviet archives and other recently released materials, Cassidy (J. Robert Oppenheimer and the American Century) offers a new view of the German wunderkind ...