Re:Google revives controversial cold-fusion experiments
by coolio2657 on Wednesday May 29, 2019 @12:46AM
(#20036927)
How can something like this even conceptually make sense? I'm sorry, but can someone explain to me how a neural network could approximate physically-deduced laws of nature (as had-coded into the classical simulator as I imagine) "without any distinguishable error"?
This is the biggest bs I have ever heard, since an molecular physics simulator that is beat by a neural network can only just be unoptimized as hell.
Re:Google revives controversial cold-fusion experiments
by neuronexmachina on Wednesday May 29, 2019 @03:28AM
(#20037595)
I think this is an example of something similar: https://www.sciencedaily.com/releases/2019/05/190517145112.h...
> Machine learning speeds modeling of experiments aimed at capturing fusion energy on Earth
[0] https://ai.googleblog.com/2017/04/predicting-properties-of-m...
[1] https://www.youtube.com/watch?v=rP8CGyDbxBY&t=16m43s