Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

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

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

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

CSIRO researchers have used quantum machine learning to enhance semiconductor fabrication—a world-first that could reshape ...

Delos also uses its model to distinguish insurable properties in areas often redlined by traditional markets. McIntyre said ...

Quantum machine learning (QML) is transitioning from research to practical business applications. Discover how QML is ...