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

Part of his job involved assessing potential hires: hopping on a Zoom call, giving an applicant an engineering test (kind of ...

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

Experts discuss the evolution of artificial intelligence in pain medicine and highlight its role in clinical decision support ...

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

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...

Abstract: Random walk centrality is a fundamental metric in graph mining for quantifying node importance and influence, defined as the weighted average of hitting times to a node from all other nodes.

Quantinuum said it had achieved a milestone for the quantum-computing sector after its system completed a number-generation task outside the reach of traditional computers, just weeks after D-Wave ...

During the past fifteen years, there has been a tremendous growth of research on randomized (sketching) algorithms for large-scale computations, such as matrix multiplication, least-squares, singular ...

ABSTRACT: In agriculture sector, machine learning has been widely used by researchers for crop yield prediction. However, it is quite difficult to identify the most critical features from a dataset.