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

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

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

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

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

From clearing up garbled speech on 9-1-1 calls to providing victims with automated investigation updates, artificial ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

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

As enterprises expand into a multi-cloud ecosystem, the need for role-based data masking is growing exponentially. IT leaders ...

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

UK universities offer world-class data science programs with strong connections to the industry.Institutions such as the University of Oxford, th ...

In our data-driven economy, companies generate, collect, and analyze massive volumes of information every day. But managing ...