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

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 ...

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 ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

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

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 ...

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into readable narratives, allowing artificial intelligence to make sense of ...

Learning how a “large language model” operates. By Kevin Roose In the second of our five-part series, I’m going to explain how the technology actually works. The artificial intelligences ...