SEAD Research on Trustworthy AI Featured in Aerospace America

Research from the SEAD Lab at Virginia Tech on trustworthy AI for materials characterization has been featured in Aerospace America. The work highlights the development of uncertainty-aware machine learning methods that improve the reliability of high-throughput materials analysis.

The research focuses on bridging the gap between simulation and experiment using physics-informed and uncertainty-aware models. By quantifying prediction confidence and detecting out-of-distribution data, the approach aims to reduce overconfident errors and enhance the safety and robustness of AI-assisted scientific discovery.

The feature can be found here:

• Speeding up uncertainty quantification for aerospace applications