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

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

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 ...

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

Longtime public health practitioner Alan Sim is leaving his post as chief data officer in the Centers for Disease Control and ...

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 ...

The AI in aviation market is expected to reach $4.86 billion by 2030, from $1.75 billion in 2025, with a CAGR of 22.6 percent according to a new report by MarketsandMarkets.

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

As AI transforms business, demand for robust infrastructure is soaring. For equipment finance firms, the moment to step in ...