While the outcome is always random when measuring a single particle, a pair’s properties are more correlated than classical physics dictates. This allows experts to verify the randomness at a ...

A new network paradigm can generate meaningfully random numbers—and fast. In network encryption, randomness has huge value because it’s not “solvable” by hackers. Classical computers can ...

Deepfakes are simple to make. A simple overview of the artificial intelligence (AI) behind deepfakes: Generative Adversarial Networks (GANs), Encoder-decoder pairs and First-Order Motion Models.

By doing so, he thinks he might be able to tune the distribution of digits that a random-number generator spits out, without affecting their underlying randomness.

Quantum mechanics used to generate truly random numbers for encryption, incorporating blockchain for traceability and security.