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 ...

Algorithms shape search, social media, and reputations, prioritizing relevance, engagement, quality, and machine ...

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 ...

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

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

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.

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

For decades, Parkinson’s disease has been diagnosed only after tremors, stiffness and slowed movement are already disrupting daily life. Now a wave of research suggests a simple blood draw could ...

Xikipedia does replicate one key aspect of social feeds: even if you start with no specified interests, the site will adapt ...