Gaussian Process (GP) regression allows you to map the relationship between your input data and a target parameter. GP based tools can be used to predict failure or adverse events. For instance, with airplane trajectory data, a GP model could be used to predict a conflict of two flights paths. StableGP is a Gaussian Process tool that is highly scalable (can run faster on larger data sets), therefore making it more useful to the aviation community.
More information on this tool and how to run it can be found here.