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

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

Abstract: We propose new algorithms to achieve k-coverage in dense sensor networks. In such networks, covering sensor locations approximates covering the whole area. However, it has been shown before ...

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 ...

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

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, ...

Describe a sound, texture or instrument, and Synplant's PhenoType will attempt to recreate it using the synth's sound engine ...

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

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

The randomness in quantum physics is imperfect and needs amplification to be considered truly random, the researchers say.

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