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That's not the application. ML accelerated modeling allows for instantaneous iteration. It dramatically speeds up creative engineering and scientific work. You
by tryonenow 5y ago
That's not the application. ML accelerated modeling allows for instantaneous iteration. It dramatically speeds up creative engineering and scientific work. You take the final product and run it through a classical simulator as a final QC - though in my experience (in a different domain, but similar principle) the ML model outputs tend to be smooth/continuous and ≈98% MSE accurate. Of course you need to carefully train your models to span the input space, but for finite element/finite difference modeling this is relatively straightforward.
- dagw 5y agoML model outputs tend to be smooth/continuous and ≈98% MSE accurate In my experience building and working with such models in similar domains, they tend to be right in all the easy and uninteresting cases where there are no problems and in all the cases where the problem is super obvious, and wrong in all the hard and subtle corner cases that you actually care about. The other problem is that traditional engineers hate models they don't understand. If you can't explain, at least roughly, why it gave the answer it gave, then they won't trust it and won't use it.