The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...

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, ...

According to Amazon’s overview, RNG has been the default routing architecture for most new AWS data centers since April, ...

Robots learn dexterous tasks more effectively from consistent demonstrations than complex ones, new study finds.

Teaching robots to manipulate objects with humanlike dexterity has long been one of robotics' toughest challenges. Tasks such ...

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

This paper deals with the two-dimensional strip packing problem (2D-SPP) with the order/or multi-drop and vertical stability constraints. The existing exact algorithm that solves this problem is not ...

"The technical improvements allowed us, for the first time, to create random numbers that will remain perfectly random for ...

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 ...