The National Science Foundation is furthering its search for highly interpretive technology to help all manner of government and private researchers evaluate the massive amounts of data generated in ...

Entropic outlier sparsification (EOS) is proposed as a cheap and robust computational strategy for learning in the presence of data anomalies and outliers. EOS dwells on the derived analytic solution ...

Spatial Omics is a new field that is taking large-scale data-rich biological and biomedical research into new dimensions. This is having a significant impact on the fundamental fields of biology and ...

A team led by Prof. Yang Dong, Associate Head and Associate Professor of the PolyU Department of Logistics and Maritime Studies and Director of PMDC has utilised AI and big data technologies to ...

Categorizing patients with cancer by their disease stage can be an important tool when conducting administrative claims-based studies. As claims databases frequently do not capture this information, ...