The algorithms that computers use for randomness are known as pseudo-random number generators.These are based on initial input values, or seeds," and if you've ever played a game like Minecraft ...

Most of what we do is, technically, pseudo-random (but we’ll say random number and assume you know what we mean). One way to generate seemingly random sequences is to use a linear feedback shift ...

It is called "pseudo" random, because the algorithm can repeat the sequence, and the numbers are thus not entirely random. See CDMA and PN sequence . Advertisement ...

According to this post on the official V8 Javascript blog, the pseudo-random number generator (PRNG) that V8 Javascript uses in Math.random() is horribly flawed and getting replaced with something … ...

Generating a string of random numbers is easy. The hard part is proving that they’re random. As Dilbert creator Scott Adams once pointed out, “that’s the problem with randomness: you can ...

From jury duty to tax audits, randomness plays a big role. Scientists used quantum physics to build a system that ensures those number draws can’t be gamed.

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 skyrmions to ...

The PRNG1 core implements a cryptographically secure pseudo-random number generator per NIST publication SP800-90. Basic core is small (6,500 gates) and uses an external 256-bit entropy seed to ...