Extracting useful knowledge from big data is important for machine learning. When data is privacy-sensitive and cannot be directly collected, federated learning is a promising option that extracts ...

Integrating single-cell datasets produced by multiple omics technologies is essential for defining cellular heterogeneity. Mosaic integration, in which different datasets share only some of the ...

This webinar will present the knowledge capture methods that are important for retaining and transferring the tacit knowledge that is critical to a nuclear organization, in terms of safety, ...