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

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

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, ...

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

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

Fake news articles contained significantly higher levels of negative sentiment, including emotions such as fear, anger, ...

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 ...