Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...

Early detection of declining forest health is critical for the timely intervention and treatment of droughted and diseased ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Unlike the traditional IPEDS survey, the agency is requesting seven years of applicants’ data in a single submission.

The requirement for devices that are able to withstand the most extreme conditions and at the same time perform well h ...

After 5 years of development and testing, Lely’s fully electric Exos robot is now in use on 25 dairy farms, mostly in the ...

“John Deere is investing heavily in AI research for corn, soybeans, wheat and cotton. Today, with image collection, 6 to 7 ...

“Turn right after the first big tree; my house is the one with the yellow door.” In parts of South Africa, where settlements ...

Currently deployed on 2,000+ trains, HMAX was first introduced by Hitachi Rail in 2024 as a comprehensive digital asset ...

Guardant co-CEO Helmy Eltoukhy says the shift to personalized treatment and earlier diagnosis is here at the WIRED Health ...

Discover why surface chemistry matters and how XPS imaging modes enable deeper insight into materials performance.