Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...

Machine learning reveals widespread integrity concerns in cancer studies, highlighting paper mill risks and why publishers must strengthen research oversight.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Investigators sought to train and validate a machine learning model to distinguish paper mill publications from genuine articles and assess the prevalence of paper mill publications.

Using detailed surveys and machine learning computation, new research co-authored at UC Berkeley's Center for Effective Global Action finds that eradicating extreme poverty would be surprisingly ...

By Eric Butterman SHARE From autonomous cars to video games, reinforcement learning (machine learning through interaction ...

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

A new machine learning tool has identified more than 250,000 cancer research papers that may have been produced by so-called ...

Out-of-hospital cardiac arrest, or OHCA, is a leading cause of mortality worldwide and 90% of cases are fatal. Patients lose cardiac function and circulation, and every minute they remain untreated ...

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.