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

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 ...

This article explains how machine learning shapes safety, moderation, and user experience on Girlswithlove, and what users should know when dating on algorithm-driven platforms.

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.

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

Moreover this flagship model X11L SQD-Mini LED series use proprietary AI processors to fine-tune picture performance in real ...

A picture is worth a thousand words or, perhaps, a hundred thousand dollars in extra salary. Academics claim that personality ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?

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.

Meet the sniffer dog of spectroscopy tools: an AI-enhanced sensor that can "sniff and seek" target objects in real-time.Spectral imaging tools ...