LinkedIn Corp. Thursday donated yet another internally built tool to the open-source community: a conversion tool that transforms data from Apache Spark into a format that can easily be consumed by ...

While advances in artificial intelligence have been slow to reach commercial P&C insurance, new trends in data augmentation could help pick up the pace, according to experts on a recent Insurtech ...

MultiKano is the first automatic cell type annotation method tailored to single-cell multi-omics data. MultiKano introduces a novel data augmentation strategy based on paired scRNA-seq and scATAC-seq ...

Yahoo Inc. announced today that it is open-sourcing the code for TensorFlowOnSpark, a software framework that combines the artificial intelligence brainpower of TensorFlow programs with the treasure ...

Viewing the observed data of a statistical model as incomplete and augmenting its missing parts are useful for clarifying concepts and central to the invention of two well-known statistical algorithms ...

The term data augmentation refers to methods for constructing iterative optimization or sampling algorithms via the introduction of unobserved data or latent variables. For deterministic algorithms, ...