Researchers have successfully used artificial intelligence (AI) to predict which patients need treatment to stabilize their ...

The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for prioritizing high-risk ...

AI presents profound challenges to traditional competition regulation, with "algorithmic collusion" emerging as the most ...

Researcher Sophie Bell and professor Eric Turkheimer identified how genetics, environment and biology combine to affect ...

The ADB–Cornell study finds that machine learning poverty maps often misfire, overestimating welfare in poor, rural, ...

The study centers around a deep-learning tool named APEX, designed to predict antimicrobial activity from protein sequences.

It doesn't take an expert photographer to know that the steadier the camera, the sharper the shot. But that conventional ...

A new study from researchers at the University of Amsterdam suggests exactly that. In a surprising experiment, the study authors built a stripped-down social media platform populated entirely by AI ...

Demographic bias gaps are closing in face recognition, but how training images are sourced is becoming the field’s biggest privacy fight.

A new study of Veterans Health Administration data shows that the Care Assessment Needs (CAN) algorithm — a tool used to predict whether veterans will be hospitalized or die in the 90 days after their ...