The first step in reverse engineering is determining whether the algorithm follows a purely random model (such as RNG) or exhibits deterministic characteristics (such as PRNG). Analyzing sequences ...

Machine learning algorithms are the engines of machine learning, meaning it is the algorithms that turn a data set into a model. Which kind of algorithm ... be solved with a deterministic method.

In the last 30+ years, several algorithms have been designed which crucially use randomness and beat their deterministic counterparts in terms of efficiency, simplicity and nearly every other ...

Nevertheless, in 2022, Bender and five colleagues decided to try out a randomized, non-smooth algorithm anyway, just to see whether it might offer any advantages. Ironically, progress came from ...

The turning point between the two occurred in 1977, when both the RSA algorithm and the Diffie-Hellman key exchange algorithm were introduced. These new algorithms ... it to get a random-looking ...