Nature

Uncertainty Quantification Using Polynomial Chaos Methods

Uncertainty quantification (UQ) is increasingly critical for modelling complex systems in which input parameters or environmental conditions vary unpredictably. Polynomial chaos methods offer a ...
National Academies of Sciences%2c Engineering%2c and Medicine

Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification

NOTICE: The project that is the subject of this report was approved by the Governing Board of the National Research Council, whose members are drawn from the councils of the National Academy of ...

Fast AI for satellite learns to quantify uncertainty

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Centrum Wiskunde & Informatica

AIMET-NL meeting: Scientific Machine Learning & Uncertainty Quantification

On 30 March 2026 a 1-day workshop will be organized at CWI by AIMET-NL, the newly initiated Dutch research network on AI for Weather & Climate. The topic of this meeting is Scientific Machine Learning ...