With the launch of its AI Data Plane, the company is betting that the real bottleneck for “agentic” AI isn’t the model — it’s ...

AI data center growth is clashing with U.S. groundwater, as proposed sites over the Ogallala Aquifer raise water security ...

The future of semiconductor test may depend as much on data movement and workflow intelligence as on the tester hardware ...

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

Most distributed database systems don’t fail because they run out of compute. They fail when query patterns do not align with their partitioned data model, leading to unpredictable latency and cost at ...

If your “microservices” still deploy like a monolith, maybe it’s time to break free with a truly composable AWS architecture. In today’s fast-paced digital landscape, building agile, scalable and ...

Distributed Maritime Operations (DMO) is the operating concept of the Department of the Navy (or DON, which includes the Navy and Marine Corps) for using U.S. naval (i.e., Navy and Marine Corps) ...

Emerging electronic control challenges in process industries revolve around the increasing complexity and connectivity of systems, alongside the need for greater efficiency, reliability, and security.

A decade and a half of enterprise cloud adoption has spread vast amounts of data and processing around the globe, and the onslaught of generative AI – and now agentic AI – is only accelerating it.

Oracle has unveiled its latest database offering it claims will enhance agentic AI deployments and help with data sovereignty demands. The Oracle Globally Distributed Exadata Database on Exascale ...

Radar is a cost-effective and dependable automotive sensor solution, even in challenging conditions such as fog, darkness, and rain. How size and cost are significant constraints on radar resolution ...