To simulate chance occurrences, a computer can’t literally toss a coin or roll a die. Instead, it relies on special numerical recipes for generating strings of shuffled digits that pass for random ...

Random numbers are crucial for computing, but our current algorithms aren’t truly random. Researchers at Brown University have now found a way to tap into the fluctuations of quasiparticles to ...

A new approach to generating truly random numbers could lead to improved Internet security and better weather forecasts, according to researchers. A new approach to generating truly random numbers ...

Randomness is a slippery concept, defying precise definition. A simple example of a random series is provided by repeatedly tossing a coin. Assigning “1” for heads and “0” for tails, we generate a ...

“This is a marvelous step” toward more efficient random number generation, says Rajarshi Roy, a physicist at the University of Maryland in College Park who was not involved in the work. Random number ...

Create an rng object with np.random.default_rng(), you can seed it for reproducible results. You can draw samples from probability distributions, including from the binomial and normal distributions.