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 ...

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

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

Academics claim that personality traits inferred using AI photo analysis can predict how depicted individuals will fare in ...

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

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

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development.

Pancreatic ductal adenocarcinoma is one of the most lethal cancers, in large part because it usually stays hidden until it ...

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.

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...

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 ...