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.

A thought experiment in prevention: What if dogs do more for cardiovascular health than statins? Let’s examine the data, ...

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

In computer science, the research area of algorithms investigates formal procedures for solving computational problems, emphasizing correctness, efficiency, and resource optimization. It encompasses ...

You haven’t overspent. You haven’t done anything suspicious. But somewhere inside your bank’s computer systems, a machine ...

Rajeev Dhir is a writer with 10+ years of experience as a journalist with a background in broadcast, print, and digital newsrooms. Thomas J Catalano is a CFP and Registered Investment Adviser with the ...

Yet an AI detector that is mostly reliable might in some ways be more dangerous than a broken one. While Pangram is accumulating the power to end reputations and careers, the tool does make mistakes, ...

ETH Zurich scientists for the first time created certified perfect random numbers using entangled quantum chips.

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 ...