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

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 ...

OpenAI has unveiled “PaperBench,” a benchmark designed to evaluate how effectively AI agents can replicate innovative machine learning research. This initiative is a cornerstone of OpenAI’s broader ...

AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...

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

A new study published in Lupus Science & Medicine discusses how machine learning (ML) opens new possibilities for studying lupus disease, from building predictive models, identifying new biomarkers, ...

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...

DUBLIN--(BUSINESS WIRE)--The "AI and Machine Learning in Business Market: Market Size, Trends, Opportunities and Forecast By Industry Vertical, Application, Component, Region, By Country: 2020-2030" ...

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