On February 14, a researcher who was frustrated with reproducing the results of a machine learning research paper opened up a Reddit account under the username ContributionSecure14 and posted the ...

A large-scale analysis of millions of cancer studies has uncovered patterns suggesting that a significant portion of the literature may not be as reliable as it appears.

The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...

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

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

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

For Lucas Farnung, there is no question more fascinating than how a single fertilized egg develops into a fully-functioning human. As a structural biologist, he is studying this process on the ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models 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 ...

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 ...