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

Abstract: This article is concerned with developing a novel distributed Kalman filtering algorithm over wireless sensor networks based on randomized consensus strategy. Compared with centralized ...

Abstract: We study a class of random sampling-based algorithms for solving general non-differentiable optimization problems. These are iterative approaches that are based on sampling from and updating ...

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

In times past, when we wanted to know which team would win the World Cup, we had to turn to seers with crystal balls, use ...

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

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

Researchers have developed a quantum method to amplify less random numbers to certifiably random ones, enhancing digital ...

Let’s be honest: the modern job hunt is brutal right now. Even if you have a great degree and a decade of solid experience, ...

For generations, agronomic knowledge has been produced on research stations like AU Flakkebjerg, where fields are designed to ...

University of Southern California researchers tracked the campaign cash that senior House lawmakers steer to fellow members ...

A recent study published in the Journal of Cultural Economics suggests that highly accurate content recommendation algorithms ...