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

Google Cloud is attempting to ease concerns about where AI data is stored by offering organizations the option to keep Gemini ...

In our data-driven economy, companies generate, collect, and analyze massive volumes of information every day. But managing that data efficiently, especially when it’s unstructured, semi-structured, ...

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

We speak to Cern principal scientist Archana Sharma about pattern recognition, machine learning and quantum technology.

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

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

Learn how homomorphic encryption enables secure AI data processing by allowing computations on encrypted data without ...

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

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Thermal throttling destroys model training performance but only three laptop brands solved this critical engineering problem ...