In his 1927 paper, "A law of comparative judgment," the American psychologist L. L. Thurstone proposed that when people ...

Watching hours of “sheepdog YouTube”—competitions where trained dogs shepherd a small number of unpredictable sheep—gave ...

Many of the insights hitting soccer pitches today trace back to Jesse Davis and a team of computer scientists open-sourcing ...

If you’re only going to use one site on this list, make it Mediageneous. This platform has earned its reputation as the ...

Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can.

Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.

Modern recruiting is marked by an “algorithmic monoculture” in which only a small number of vendors supply applicant ...

Quantum computing is advancing faster than expected, forcing Bitcoin and the broader crypto industry to prepare for a post-quantum future.

Creating perfect randomness is surprisingly difficult. Even modern random number generators never generate completely ideal random numbers: small systematic errors can result in some numbers appearing ...

Abstract: Device simulation has been explored and industrialized for over 40 years; however, it still requires huge computational cost. Therefore, it can be further advanced using deep learning (DL) ...

The big picture: In 2019, Google's Sycamore chip achieved quantum supremacy by solving a random number problem that would have taken the fastest supercomputer 10,000 years to complete. Although that ...