Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

The IMF’s 2025 paper introduces a novel AI-driven method to estimate international stablecoin flows by identifying the ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

Why Federated Learning is the Next Big Thing in Healthcare AI The use of Artificial Intelligence (AI) in healthcare holds a lot of promise. It’s already making big improvements in diagnosis, decision ...

Tungsten (W), a hard, heat-resistant, and corrosion-resistant metal, is indispensable to modern high-tech industries—from ...

Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

Self-learning AI enhances behavioral analytics for detecting advanced threats and insider risks, but demands careful ...

Next-generation optical inspection is about more than just sensitivity. It’s about reliably seeing through complexity.

Thanks to A.I., companies like WindBorne hope to usher in a golden age of forecasting. But they rely in part on government ...