Classical computer algorithms can only create pseudo-random numbers, and someone with enough knowledge of the algorithm or the system could manipulate it or predict the next number.

Quantum random number generators and autonomous driving artificial intelligence (AI) semiconductor design technologies have been recognized as national strategic technologies.

Why is Eshan Chattopadhyay’s work a breakthrough? Chattopadhyay solved a problem in randomness extraction, how to generate reliable random numbers using two poor sources of randomness.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

It should probably come as no surprise to anyone that the images which we look at every day – whether printed or on a display – are simply illusions. That cat picture isn’t ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Randcast, the decentralized Random Number Generator (RNG) developed by ARPA Network, has officially launched on the BNB Smart Chain (BSC). The launch is part of ARPA’s strategic expansion to bring ...

Humans can remember various types of information, including facts, dates, events and even intricate narratives. Understanding ...

“I do think the game is maybe slightly easier than I wanted it to be in the end,” Lost in Random: The Eternal Die director ...

A new study suggests our brains store narratives by linking related events into tree-like structures, explaining how we ...

Physicists have discovered that silicon-22 reveals a new proton magic number offering critical insights into nuclear ...