Overcoming barriers on the use of multi-center data for medical analytics is challenging due to privacy protection and data heterogeneity in the healthcare system. In this study, we propose the ...
With the popularity of mobile health monitoring and genome sequencing techniques, the scale of biomedical and genomic data grow rapidly, with their privacy receiving more and more concerns. Encryption ...
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 ...
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 ...
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 ...
Ensuring data gets to where it’s supposed to go at exactly the right time is a growing challenge for design engineers and architects developing heterogeneous systems. There is more data moving around ...
Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by modern AI models. This approach enables ...
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