A team of international scientists has developed a laser that can generate 254 trillion random digits per second, more than a hundred times faster than computer-based random number generators (RNG).

Using a single, chip-scale laser, scientists have managed to generate streams of completely random numbers at about 100 times the speed of the fastest random-numbers generator systems that are ...

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.

Sometimes you need random numbers — and properly random ones, at that. Hackaday Alum [Sean Boyce] whipped up a rig that serves up just that, tasty random bytes delivered fresh over MQTT. [Sean] tells ...

Even though rand() may be a good enough random number generator for making a video game, the patterns of random bits it spits out may not be sufficient for applications requiring truly random data.