Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
A new AI “wrapper” helps detect uncertainty in pathology models, improving accuracy, fairness, and safety in cancer ...
Some of America's largest home insurers are pricing wildfire risk at dramatically different levels of precision - and the gap ...
Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks are largely unaware of the ...
Numerical simulations in physics often require estimating a multitude of parameters, making the process computationally expensive and complex. Researchers at University of Tsukuba have introduced a ...
The Mathematics in Computation Section at Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for the Alston S. Householder Fellowship in mathematics and scientific computing.
This conference is being held in cooperation with the American Statistical Association (ASA) and GAMM Activity Group on Uncertainty Quantification (GAMM AG UQ). Uncertainty quantification (UQ) is ...
A Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization. Also: a glossary of useful terms and a collection of relevant papers and references. Many machine ...
In high-stakes situations like health care—or weeknight Jeopardy!—it can be safer to say "I don't know" than to answer incorrectly. Doctors, game show contestants, and standardized test-takers ...
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