The researchers determined that applying machine learning to infer personality traits from facial images produced accurate ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

For decades, Parkinson’s disease has been diagnosed only after tremors, stiffness and slowed movement are already disrupting ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

If you’ve ever wanted a social media feed that’s a bit more educational, that dream is now a reality thanks to Xikipedia.

Between 2008 and 2020, the United States experienced a relentless increase in “Separation”—the researchers’ metric for the distance between the average opinion of the two groups. By 2024, the degree ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

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

You can opt to see entries from certain categories (including custom ones) and you can like “posts,” each of which is a summary of the relevant Simple Wikipedia entry. Liking a post makes it more ...

Researchers at Aiims and global scientists are studying how changes in tone, pitch and speech patterns may help AI flag early ...

Discoveries can come from the most unlikely places — at least, that's what one high schooler found out, after finding nearly 1.5 million new objects in space.