Image: Tee11/Adobe Stock. 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 ...

By following that guiding star, the company decided to analyze images, rather than produce them (at least for now). She reserves the right to create charts and graphs at some point from data, but ...

Graphs are widely used as a popular representation of the network structure of connected data. Graph data can be found in a broad spectrum of application domains such as social systems, ecosystems, ...

Each chart is paired with a synthetic L1 caption that describes the chart's elemental and ecoded properties and a human-generated L2/L3 caption that describes trends and statistics about the chart. In ...

The query is generated using the text prompt that was created in step 2 and is used to create and populate the graph database with relevant data. The Cypher query is a declarative language that is ...

Study reveals most used AI models for text, image, and video generation, highlighting adoption trends and emerging industry leaders. Quora's Poe shares data on top AI models. Study looks at most ...

The proposed algorithm classifies image by chart type, detects graphical and textual components, extracts semantic relations between graphics and text. Classification is performed by a novel ...

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

Neo4J itself is banking on a growing role for graph databases to power an explosion in new use cases for the next generation of AI. Neo4j CEO Emil Eifrem explains: The next stage is graph data and ...