Artificial intelligence operations can place different demands on storage during training, inference etc. We look at NAS, SAN and object storage for AI and how to balance them for AI projects.

HPE Private Cloud AI is adding feature branch model updates from NVIDIA AI Enterprise ... and elevate software quality. In the realm of data modeling, many-to-many relationships are often considered ...

Open source in-process OLAP system launches rival to Iceberg and Delta Lake table format, and more With a combined market ...

Amazon Web Services (AWS) strives to deliver reliable services that customers can trust completely. This requires maintaining ...

(1993) to modeling uncertainty ... In this paper, the data model is formally defined and a nonredundancy preserving primitive operator, the merge, is described. It is proven that nonredundancy is ...

we statistically model the LiDAR ranging process in fog conditions through a data-driven approach. Specifically, giving an object at a known distance, our model is able to predict LiDAR measures ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

Today, companies require more efficient methods to manage and interpret the vast amounts of data that support strategic ...

Odyssey, a startup founded by self-driving pioneers Oliver Cameron and Jeff Hawke, has developed an AI model that lets users ...