Right. Because compute power and/or a physics based model is the limiting factor for accurately predicting when a seismic event happens. Training on historic data is hardly the problem that need's solving.

It's the leading indicators that are actually measurable that are missing. You know the ones that allow for evacuations and other protective measures.

Given the swath of sensors that Japan has, and the long history of a lot of them. I do wonder what the result of training off their datasets would be.

This is interesting. Can you share the model/github?

So when/where is the next big one coming?

How are you doing your train/test split?