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

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

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

The artificial intelligence (AI) and machine learning (ML) sector has solidified its position as the powerhouse of venture ...

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

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

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

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 ...

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