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 ...

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

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

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

Academics look at problematic algorithm to inform regulatory discussion A picture is worth a thousand words or, perhaps, a hundred thousand dollars in extra salary. Academics claim that personality ...

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.

While it's important to stay informed about what's going on in the world, endlessly scrolling through your social media feeds and absorbing what's likely to be a largely negative influx of information ...

A new international study suggests most clinical artificial intelligence (AI) tools are not yet ready for safe, equitable use ...

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

Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...

AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare ...