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 ...

Uncertainty quantification (UQ) is increasingly critical for modelling complex systems in which input parameters or environmental conditions vary unpredictably. Polynomial chaos methods offer a ...

Abstract: The increasing power of computing platforms and the recent advances in data science techniques have fostered the development of data-driven computational models of engineering systems with ...

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

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...