Once a set of images is annotated by people, the model can begin producing what it thinks is an accurate scene graph. Data scientists then verify and fine-tune the model. The algorithm can then ...

Once the scene graphs are ready, they power programs written using Python and textual templates that serve as full-fledged data generators capable of creating question-and-answer pairs for AI ...

That means that we found a way that we can combine the JSON document data model, the graph model, and the key-value model in one database core with one query language." Today ArangoDB is a US ...

But there are more reasons why this is important. There are two main data models used to model graphs: RDF and Labeled Property Graph (LPG). Neptune supports both, with SPARQL serving as the ...

“Now we know that the network is just the shadow of the thing,” Grochow said. If a data set has a complex underlying structure, then modeling it as a graph may reveal only a limited projection of the ...

Diffbot’s AI model leverages this resource by querying the graph in real time to retrieve information, rather than relying on static knowledge encoded in its training data. For example ...