[$] 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.

Source: LWN