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Is it possible to use a neural network on RNG?
There is an RNG of uniform distribution and 30,000 values, is it possible to predict the next value based on these data? Or maybe someone can suggest good articles on the analysis of the RNG of a uniform distribution and the possibility of predicting it?
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The basic RNG in a computer is essentially a deck of cards. Is it possible to predict the first card - no. Is it possible to predict the latter - yes. Your predictions will work if you know the entire RNG table
There is a RNG of uniform distribution and 30,000 valuesthis is PRNG.
I think if the author can predict, for example, the next number from some SecuredRandomGenetator, then the whole world of cryptography will shudder.
It doesn't matter there ... a neural network or just some stat methods. It will be a breakthrough beyond these SHA-1 hacks of yours.
In general, the price of this task is at least a bonus in number theory.
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