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

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

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.

Assemblymember Chris Ward proposed two similar bills last year that haven't made it out of their committees, but he insists ...

A recent notice outside of a Wegmans store in New York City sparked concern about whether your identity is safe, as well as ...

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

Nandan Nilekani built Aadhaar, India’s vast digital biometric identity system. Now he wants to Aadhaarize the world.

China data compliance trends highlight stricter audits, cross-border rules, and enforcement—what foreign firms must know now.

MOROGORO: EXPERTS collecting soil samples across the country convened for a workshop aimed at strengthening best sampling practices to support the development of a digital Soil Health Map that will ...

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

This makes it hard to secure and move data around the organization, or to extract it for broader analysis and to fuel AI.

Phillip Bland, global government advisor at Qualtrics, shares his view on how the NHS should approach its digital healthcare ...