[$] Machine learning and stable kernels

There are ways to get fixes into the stable kernel trees, but they require humans to identify which patches should go there. Sasha Levin and Julia Lawall have taken a different approach: use machine learning to distinguish patches that fix bugs from others. That way, all bug-fix patches could potentially make their way into the stable kernels. Levin and Lawall gave a talk describing their work at the 2018 Open Source Summit North America in Vancouver, Canada.