System Initiative proposes a radical overhaul of infrastructure automation to address infrastructure-as-code chaos and ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of ...

As organizations increasingly rely on data-driven decision-making, the need for robust and efficient data infrastructure has become paramount. In industries such as pharmaceutical manufacturing and ...

Many genome-scale, or 'omics', data sets are becoming available for various model organisms. Although each of these data types is valuable on its own, further insights into whole systems can be ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Improving the Great Lakes Operational Forecast System by creating a data assimilation and model adjustment loop.

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into ...

While it doesn’t get a lot of attention, System.Data is crucial for any sort of relational database access in .NET. Also known as ADO.NET in honor of its predecessor, ActiveX Data Objects ...