Research on rare diseases and atypical health care demographics is often slowed by high interparticipant heterogeneity and overall scarcity of data. Synthetic data (SD) have been proposed as means for ...

Back in 2001, I wrote a column about the merits of using heterogeneous designs for signal processing-oriented applications. My argument went like this: Signal-processing applications typically ...

Semiconductor Engineering sat down with Paul Chou, senior director of security architecture at NVIDIA, to discuss data leakage in heterogeneous designs. What follows are excerpts of that one-on-one ...

Heterogeneous graphs organize data with nodes and edges, and have been widely used in various graph-centric applications. Often, some data are omitted during manual construction, leading to data ...

Machine learning offers new framework for heterogeneous catalyst data analysis by Jean-Paul Olivier, Berlin Institute for the Foundations of Learning and Data Editors' notes Add as preferred source ...