Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...

Earth observation data underpin climate science, disaster response, and environmental policy, yet inconsistent grid definitions often limit their accuracy and reuse. Researchers now present a unified, ...

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

A lot of us might assume that most homes that are destroyed by wildfires were in obvious, high fire-risk areas, like on the edge of forests that frequently burn. But wildfires are ...

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

Abstract: This innovative practice full paper describes how to integrate generative Artificial Intelligence (AI) with Data Structures and Algorithm Analysis (CS2) homework at Oklahoma State University ...

1 Department of Urology, The First Hospital of China Medical University, Shenyang, China 2 Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China Introduction: ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...

The SEO industry is undergoing a profound transformation in 2025. As large language models (LLMs) increasingly power search experiences, success now depends on withstanding traditional algorithm ...

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