On Tuesday, July 2, 2019 at 5:20:33 AM UTC-5, John Clark wrote:
>
> On Tue, Jul 2, 2019 at 1:32 AM Philip Thrift <[email protected] 
> <javascript:>> wrote:
>
> *> Physics (language) could be replaced by computer code*
>
>
> But the computer won't be replaced by computer code, software is useless 
> without hardware. 
>
> John K Clark
>


Or via a "neural network" computer:

https://www.pnas.org/content/early/2019/06/21/1821458116

*To understand the evolution of the Universe requires a concerted effort of 
accurate observation of the sky and fast prediction of structures in the 
Universe. N-body simulation is an effective approach to predicting 
structure formation of the Universe, though computationally expensive. 
Here, we build a deep neural network to predict structure formation of the 
Universe. It outperforms the traditional fast-analytical approximation and 
accurately extrapolates far beyond its training data. Our study proves that 
deep learning is an accurate alternative to the traditional way of 
generating approximate cosmological simulations. Our study shows that one 
can use deep learning to generate complex 3D simulations in cosmology. This 
suggests that deep learning can provide a powerful alternative to 
traditional numerical simulations in cosmology.*

@philipthrift

 

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