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The research team of Weihong Tan, Xiaohong Fang, and Tao Bing from the Hangzhou Institute of Medical Sciences, Chinese Academy of Sciences, proposed a ...

Polarization in the U.S. didn’t rise gradually. A new machine-learning study shows it surged after 2008- but why?

From clinical psychosis to fatal fixation, fantasy worlds — amplified by algorithms, cheap data and unsupervised screen time — can become emotional shelters for vulnerable young minds.

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 ...

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

More frequent and intense weather phenomena like heat waves, windstorms, or atmospheric rivers often come in pairs and these challenging combinations stress the power grid and lead to outages. A multi ...

In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster analysis on the 112 prescriptions in Shang Han Lun. Statistical and network ...

Dinosaur footprints have always been mysterious, but a new AI app is cracking their secrets. DinoTracker analyzes photos of fossil tracks and predicts which dinosaur made them, with accuracy rivaling ...