[exabyte]

The power that I see in machine learning is the techniques being developed to handle the unavoidable noise in empirical data. I think that poses a large obstacle for traditional techniques although I am not familiar enough to compare.

[willis936]

To me the value is in matching relationships (equations) of curated parameters from empirical data and using simulated recreations of the experiment as the objective. As soon as you can recreate experimental results in a simulation then you’ve made a successful model for that domain. This is an incredibly important and difficult task for fluid dynamics and plasma physics.

[stainforth]

Fusion is right around the corner!