Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.

Digital marketers today face an unrelenting demand for video content. Social media feeds prioritize motion, audiences scroll past static posts, and competitors ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Speaking at the House of Lords in London, Alain St.Ange explains how artificial intelligence is reshaping hospitality, ...

To fully harness AI’s potential, KRA should pair its internal modernisation efforts with selective adoption of proven ...

The financial markets are unpredictable by nature. A policy announcement in one hemisphere can have unforeseen effects on ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

This article is the first of a three-part series on artificial intelligence and the changing nature of evidence in New York ...

Researchers demonstrate fourfold improvement to LED steering results after enlisting the help of some good old-fashion AI Boffins at the Department of Energy's Sandia National Labs are working to ...

This collaboration enhances QT Imaging's Cloud SaaS Platform by integrating Olea Medical's advanced visualization, quantitative analytics and AI-ready imaging technologies to support clinical ...

A recent review concluded that artificial intelligence (AI) is revolutionising cardiology by transforming clinical practice.