Imagine a glass of water: you can define the movement of each molecule, but this is very difficult, explains scientists. Instead, you can take into account the basic features and calculate the behavior of the liquid as a whole. The head of the work of Marco Bonichi of the University of Waterloo works in this way: Considering the effect of small processes, they define the universe on a large scale.
The emulator works on the basis of trained neural networks on the results of complex models. “He does not understand physics”, but he knows how to correctly reproduce predictions, including changes in small fluctuations in the parameters. This demands resources faster and less than traditional methods.
The tests made this effort. JL gives the same correct results as EFTOFLSS and is sometimes even more complete.
Source: Ferra
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