Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

As IoT and AI ecosystems mature, enterprises are rejecting vendor lock-in in favor of interoperability. Here's what leaders need to know.

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an ...

For software developers today, staying competitive means embracing AI technologies. Here’s how some developers are staying ahead of the curve.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

While retention remains high, with the service hitting more than 99% of its re-up goals last year, the Navy is still battling ...

By Yangchula Bhutia Georgios Bouloukakis, University of Patras; Institut Mines-Télécom (IMT) “Edge computing”, which was ...

Using 3D imaging and AI, scientists mapped 10 million plus oligodendrocytes across the mouse brain, revealing region-specific ...

NASA Ames March meeting continues progress to integrate unmanned aircraft systems (UAS) into national airspace ...

Ancient carvings once thought decorative may actually be early attempts to record information. Their statistical complexity matches that of proto-cuneiform, pushing the origins of writing-like systems ...

Officials unlock artificial intelligence value by fixing governance, metadata and pipelines first — building trusted, shareable data foundations across missions.