As I was reading through this, I realized that there's also something kind of similar but in the 'opposite direction' - thermodynamic computing.

E.g.

- radiation tolerant ML: do ML 'work' steps despite noise

- thermodynamic computing: drive ML work 'steps' 'through' noise

Makes you wonder if there could even be a meta level where you can isolate the noise due to radiation, and pass that as an input to the protection parameters, so you could adjust the robustness in an adaptive manner, or something. Or a diffusion model, where radiation noise is the input noise source!

[0] https://www.normalcomputing.com/post/scaling-thermodynamic-c...