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).
Before computers and algorithms were developed to generate random numbers, there were dice. Middle Eastern tombs uncovered cubical dice dating back to the 20th century BC—but it’s believed they’re ...
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 ...
“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 ...
WEST LAFAYETTE, Ind. – If you wanted a random number, historically you could do worse than to pick a sequence from the string of digits in pi. But Purdue University scientists now say other sources ...
If you want to start an argument in certain circles, claim to have a random number generation algorithm. Turns out that producing real random numbers is hard, which is why people often turn to strange ...
Skyrmions, tiny magnetic anomalies that arise in two-dimensional materials, can be used to generate true random numbers useful in cryptography and probabilistic computing. Whether for use in ...
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 ...
Finding π using random numbers and probability. This short demonstrates a Monte Carlo approach, showing how randomness and statistics can converge to an accurate estimate of pi through repeated trials ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results