Bayesian uncertainty analysis represents a powerful statistical framework that integrates prior knowledge with observed measurement data to quantify uncertainty in a consistent probabilistic manner.

Natural or manmade disasters present multiple risks to a community, with evacuation being one of the most effective means of reducing mortality and morbidity associated with natural disasters.

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

How does Thermo Fisher Scientific's analytical software support the calculation of measurement uncertainty? Wilhelm Sanders: According to DIN EN ISO 17025, it is necessary to calculate the measurement ...

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

If you would like to learn more about the IAEA’s work, sign up for our weekly updates containing our most important news, multimedia and more. The IAEA facilitated the co-operation on research and ...

In biopharmaceutical manufacturing the interactions between cells, nutrients, and reagents in culture determine product quality. The big challenge for process developers is modeling these complex ...

SWOT analysis: Why you should perform one, especially during times of uncertainty Your email has been sent Image: marekuliasz, Getty Images/iStockphoto Must-read leadership coverage Shark Tank’s Mr.