A new framework called FLARE combines nonlinear machine learning flexibility with closed-form uncertainty estimates, ...

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

For those wanting more machine learning in the kernel, Viacheslav Dubeyko has posted a new in-kernel library for that purpose. What is the goal of using ML models in Linux kernel? The main goal is to ...