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.