Modern recruiting is marked by an “algorithmic monoculture” in which only a small number of vendors supply applicant screening algorithms, Stanford researchers said.

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.

Creating perfect randomness is surprisingly difficult. Even modern random number generators never generate completely ideal ...

Abstract: Efficient factorization of low-rank matrices have become crucially important in modern machine learning applications. In this paper, we present a randomized, rank-revealing QLP algorithm, ...

Google scientists have created a new algorithm that can solve problems on a quantum processor 13,000 times faster than the world's fastest supercomputers. They say it brings us one step closer to ...

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.

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...

ABSTRACT: Accurate canopy height estimation is critical for forest management and carbon monitoring in Zambia’s ecologically diverse landscapes. This study developed a high-resolution canopy height ...