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DOE OSTI · 3374898

Uncertainty Quantification (UQ) for AI fact Sheet

Casleton, Emily Michele [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000329095704)
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Abstract

UQ is traditionally defined as quantitative characterization and estimation of uncertainties in both computational and real-world applications. It tries to determine how likely certain outcomes are if some aspects of the system are not exactly known.

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97 MATHEMATICS AND COMPUTING

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Casleton, Emily Michele [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000329095704). 2026-06-18. Uncertainty Quantification (UQ) for AI fact Sheet. https://doi.org/10.2172/3374898

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