The state of the Universe is governed by a function.
Neural networks approximate functions -- it is what they are designed to do. Period.
Therefore, the Universe is an approximation of some ideal and unattainable function ... wait, what? Why? Why bother? Why do we need an approximation when the real thing will do? There is an acronym -- KISS -- keep it simple, stupid.
The only reason they use the word autodidactic is so that they can skip the question of who's doing the training -- God? Ancient astronauts?
It is the cherry picking of concepts from computer science, is what it is. Nowhere do they mention the use of the logistic activation function, or activation functions in general. Weird.
In any case, they're years behind in their research. The latest and greatest toy is the Convolutional Neural Network (CNN). For instance, dog vs cat classification fails 50% of the time using a traditional neural network. The failure rate is 10-20% for the corresponding CNN. They only mention CNNs in passing. In other words, their model is out-of-date out-of-the-gate.
This post imported from StackExchange Physics at 2021-05-26 18:05 (UTC), posted by SE-user shawn_halayka