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

A Stanford-led study of 4 million job applications reveals AI tools used by Fortune 100 companies systematically reject Black and Asian applicants.

Because type 1 diabetes can be very difficult to effectively manage in children and adolescents, these study investigators compared outcomes between a hybrid closed-loop algorithm add-on and usual ...

Housing tends to be a key part of household wealth, but despite its importance, it has been difficult to measure the value of a property. In a new article, researchers have studied the impact of a ...

A machine learning algorithm can accurately detect traumatic intracranial hemorrhage using information collected before patients reach the hospital, according to a study published in JAMA Network Open ...

So far, it has not been possible to explain the causes of around half of all rare hereditary diseases. A Munich research team has developed an algorithm that predicts the effects of genetic mutations ...

In real-world scenarios, mixture models are frequently employed to fit complex data, demonstrating remarkable flexibility and efficacy. This paper introduces an innovative Pufferfish privacy algorithm ...

A new study conducted by the Computational Social Science Lab (CSSLab) at the University of Pennsylvania sheds light on a pressing question: Does YouTube's algorithm radicalize young Americans?

The lungs are an integral part of the human respiratory system, whose proper functioning is crucial to maintaining human life. However, they are also among the organs with the highest incidence of ...

If you're a Twitter user, you'll know that when scrolling through your home feed, in between posts from accounts you follow, you'll sometimes see tweets tagged "you might like." In other words, ...

A novel artificial intelligence (AI) algorithm that identifies a cardiac dysfunction from a single-lead EKG also can predict long-term patient survival after cardiac surgery, according to new research ...