From machine learning to voting, the workings of the world demand randomisation, but true sources of randomness are ...

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 skyrmions to generate ...

A team including CU PREP researchers and scientists from CU Boulder and NIST have built the first random number generator using quantum entanglement to produce verifiable random numbers. Dubbed CURBy, ...

Nobel Prize-winning physicist Frank Wilczek explores the secrets of the cosmos. Read previous columns here. Many summers ago, I discovered a book called “A Million Random Digits with 100,000 Normal ...

Random numbers are a precious commodity, whether expressed as strings of decimal digits or simply 1s and 0s. Computer scientist George Marsaglia of Florida State University, however, likes giving them ...

A compounding technique first used to produce random binary digits is generalized and extended to other number systems. Formulae for the rate of convergence of probabilities to the desired values are ...

Computers are known to be precise and — usually — repeatable. That’s why it is so hard to get something that seems random out of them. Yet random things are great for games, encryption, and multimedia ...

Random numbers are invaluable. They're used in the encryption that makes online banking secure. Economists, physicists, pollsters, and casinos rely on them. Yet until recently, producing large sets of ...