Tech Xplore on MSN

A better method for identifying overconfident large language models

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 ...
CU Boulder News & Events

Seminar: Uncertainty Quantification and Data Management in Complex System Modeling: A Multi-fidelity Approach - Nov. 13

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 ...
Machine Design

Standardizing Computational Models: Verification, Validation and Uncertainty Quantification

Computational models and simulations have had an important role in engineering analysis since as far back as the 1960s. It is widely recognized that the use of modeling and simulation tools can make ...
Nuclear Engineering International

AI, uncertainty and fusion

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

H-UQ-MFF: Hybrid Uncertainty-Aware Multi-Feature Fusion for Clinically-Translatable Glaucoma Detection with FDA-Compliant Validation ()

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