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 ...

Snapchat is under fire from a Danish research body, Digitalt Ansvar, for allegedly allowing drug dealers to operate openly on its platform.

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

New research from University of Virginia psychologists has found that "epigenetic clocks"—tools scientists use to estimate a ...

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

A new study in Science now promises to kick this dust up all over again: it has reported evidence of neural progenitor cells ...

(NASDAQ: BEAT), a medical technology company focused on transforming cardiac care by providing powerful personalized insights ...

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

Abstract: With the rapid development of computer vision technology, image recognition, as one of its core tasks, plays an important role in several industries. However, traditional image recognition ...