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

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 ...

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

An analysis of NeurIPS 2025 papers by startup GPTZero reveals how AI-generated citations are slipping into elite academic ...

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

At the world’s largest artificial-intelligence conference, known as NeurIPS, Weichen Huang almost blended in. Last month in Vancouver, he was one of numerous researchers explaining their ...

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

Nick Luckenbach ’22 thinks functional MRI scans could hold the key to the next big breakthrough in Autism Specrtum Disorder treatment. If you look closely at the brain of a person suffering from ...

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 ...

Anuja Uppuluri used to spend a lot of time scrolling social media apps dictated by algorithms designed to keep users glued to their screens no matter how mind-numbing the content. “I always had ...