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

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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.

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

An AI-led study in The BMJ flags nearly 10 per cent of global cancer research papers as potentially fake, raising alarms about paper mills and the integrity of cancer science worldwide ...

The ITU Journal on Future and Evolving Technologies continues its in-depth coverage of machine learning for 5G and future networks.

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.

A Georgia Tech-led review paper recently published in Nature Reviews Physics is exploring the ways machine learning is revolutionizing the field of climate physics — and the role human scientists ...

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 ...