In 1946, J. von Neumann developed a pseudo-random generator (PRNG) with the following algorithm: “start with an initial random seed value, square it, and slice out the middle digits.” A sequence ...

Optical chaos is vital for various applications such as private communication, encryption, anti-interference sensing, and reinforcement learning. Chaotic microcombs have emerged as promising sources ...

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 ...

Random number generation is the Achilles heel of cryptography. Intel's Ivy Bridge processor incorporates its own, robust random number generator. Random number generation is the Achilles heel of ...