MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Explore how robotics technology trends and automation robotics are transforming manufacturing, healthcare, and logistics with ...

The tech tool has been subject to criticism and controversy since being launched by the department five years ago.

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...

Sanford Health created tech C-suite role to oversee AI, data analytics, and innovation, advancing value-based care across its rural health system.

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

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...

Three out of the 10 fastest growing jobs in San Francisco involve artificial intelligence, according to data compiled by ...

In the narrative of Industry 4.0, the cloud has long been the protagonist. It promised infinite storage, massive computing power, and the ability to aggregate d ...

Every medication in your cabinet, every material in your phone's battery, and virtually every compound that makes modern life work started as a molecular guess, with scientists hypothesizing that a ...