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 ...

When robotics and cloud-connected digital twins work in sync, they create a living, responsive system that continually ...

Marine heat waves (MHWs) are periods of unusually warm sea temperatures, recognized as one of the fastest emerging ...

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

Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...

• The federal government is a key collector of vital data about the makeup of the country. • President Donald Trump has long ...

Stakeholders, experts and lawmakers are trying to predict the future of the data center industry, including its energy needs ...

Recent hacks have drawn attention to the particular vulnerabilities of college campuses, which often resist tighter security ...

By adopting a Data-First approach, you can build connected intelligence while providing AI analysis to automate ...

Researchers reported on patient acceptance of an e-consent tool for asynchronous delivery of study information and for receiving consent from patients.

Macroeconomic trends, including cooling inflation and continued commodity headwinds, are expected to impact the industry.