A recent study is the latest to highlight a core AI safety concern: that the pace of development is outpacing humans’ ability ...

It is imperative for health systems to form data sharing partnerships that allow for the analysis of de-identified clinical data, while effectively and comprehensively protecting patient information.

This data model (i.e. "schema design,") is useful for developing applications around any restricted resource system, not just e-commerce systems.

Discover what black box models are, their applications in finance and investing, and examples of how they drive ...

Traditional scaling approaches to building machine learning models will fail as we run out of data for them. Several techniques may help.

While one model, Google's Gemini 2.5 Pro, achieved a higher average score of 10.1 out of 42 points (~24 percent), the results otherwise showed a massive performance drop compared to AIME-level ...

This article explores how harnessing big data and analytics can radically transform traditional business models, enabling companies to adapt to evolving markets.

Advocates say data models of police activity can highlight potential trouble spots and drive smart allocation of assets. Critics say it’s a way to worsen existing bias and deepen community divides.

This is not the same as data shift, where training fails to produce a good model because the training data does not match real-world examples.