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

The cloud also encourages wasteful development behavior and data architecture: A lot of data is needlessly transferred to the cloud and back, while it is really primarily used and useful on the edge.

This insideHPC technology guide, insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data, discusses how organizations need to adopt a Fusion Computing Model to ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

In today’s data landscape, a distributed architecture is driven by the need for real-time insights, compliance, and the scalability provided by cloud computing, with organizations increasingly ...

But if the evaluation results aren’t satisfactory, fine-tune your models by refining the data, model architecture, ... Example Applications of Different AI Model Types.

The technical trinity: How Intuit’s data architecture enables true agentic AI What separates Intuit’s approach from competitors is its sophisticated data architecture designed specifically to ...

Datadog created a dedicated data ingestion architecture offering exactly-once semantics for their third-generation event store, Husky. The event-driven architecture (EDA) can accommodate bursts in tra ...

Fusing Intel and EW Data into the Army’s Data Centric NGC2 Architecture . By Shawn Nesaw December 23, 2024. ... EW and sensor enterprise serves as a model/example for the entire Army network ...