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Another great natural mystery that machine learning could tackle is earthquake prediction. Sure you could find some patterns modeling historical data.

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Totally — I love that kind of sideways thinking. Earthquake prediction feels like one of those massive, noisy systems where patterns might exist, but they’re buried deep in complexity. I’ll admit, I know absolutely nothing about seismology, so I have no idea how realistic that kind of modelling would be — but yeah, it feels like one of those domains where structure might be hiding in what looks like chaos.

Appreciate the nudge — always fascinating to see where people take this kind of thinking.

What data would you feed it and why?

Most likely seismograph logs, I guess? Not sure gas emissions are something we can expect to provide a more ahead of time alert. That is my guess is that by the time some out of charts in gas emissions are showing, it's too late to make a whole city population move? I'm nothing like a volcanologist though, this is just very wild guess.

On the other hand, it's a bit wild to build a whole city next to volcanos that are definitely going to wake up in less than a few centuries, to begin with.

There are already works using machine learning on thebtopic

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