Cracking Random Number Generators Using Machine Learning
ANNs are function approximators so it s trivial for them to learn a mathematical function like a prng. The seed is irrelevant to the ANN, it just learns the function's sequence, regardless of where it started. Which makes the interesting question how many people are already cracking PRNGs with ANNs ?