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You mean like Modular?

The general rule of thumb to go by is that whatever Karniadakis proposes, doesn't actually work outside of his benchmarks. PINNs don't really work, and _his flavor_ of neural opera…

I think you are asking an ill-posed question in parts. Julia has a lot of great things, and needs to continue evolving to find an even better fit amongst the many programming langu…

Almost feels like a fallacy of Julia at this point, on the one hand Julia really needs a stable, high-performance AD-engine, but on the other hand it seems to be fairly easy to get…

Fully agree, and I think the tinybox is great if you put only one of them somewhere in your local office. I just don't think it makes sense to connect multiple of them into a "clus…

For that you'd probably be better off removing one of the GPUs, and replacing it with a networking card. The problem of the form factor will remain. The tinybox is 15U big for comp…

The networking of the tinybox is woefully inadequate. I.e. it only has an OCP 3.0 interface which is unoccupied. If you can fit everything onto one tinybox, then you'll be good, if…

So the answer is not Jax? Because JAX is not designed around a mature compiler stack. The history of Jax is more so that it matured alongside the compiler...

I'd strongly rephrase the title, this is NOT a book on physics-based deep learning. This is a book on the deep learning approaches for physics problems DEVELOPED BY THIS RESEARCH G…