EurekAlert!

[Research Article] Uncertainty quantification in geospatial AI/ML applications: methods, metrics, and open-source support with an air quality use case

Spatial distribution of PurpleAir (triangles) and EPA (squares) sensors across California, shown in relation to major cities LULC classes. The adoption of AI/ML models in geospatial applications faces ...
Nature

Uncertainty Quantification in Deep Learning for Medical Imaging

Uncertainty quantification integrates methods that measure the confidence of deep learning predictions in medical imaging, addressing both intrinsic data noise and model limitations. In clinical ...
EurekAlert!

HKU Engineering researchers pioneer differentiable imaging and launch landmark application with uncertainty-aware Fourier ptychography

Professor Edmund Lam, Dr Ni Chen and their research team from the Department of Electrical and Electronic Engineering under the Faculty of Engineering at the University of Hong Kong (HKU) have ...