I've issued three monster articles (and four podcasts) about SAP Sapphire - but it wasn't enough. To kick off my spring event ...

Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and graph-based retrieval, they’re flying blind.

A new project from PHD student Tristan Bilot, Francesco Farina, and the MLX team, mlx-graphs is a library intended to help Graph Neural Networks (GNNs) to run more efficiently on Apple Silicon.

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...

His team is building a talent mapping database using Neo4j technology to build a knowledge graph to show the relationships between people, skills, and projects.

Large Graph Models for skills are advanced AI systems designed to process and analyse intricate skill relationships within vast datasets. ... project assignments, or cross-functional collaborations.

Neo4j today unveiled Aura Enterprise, a new cloud-hosted version of its graph database that’s aimed at organizations with the biggest, most demanding graph requirements. Among the customers already ...

Successful understanding of the differences and similarities between continuum and graph models will allow us to translate the large body of work on the properties of PDE models to the discrete ...

Graph databases are game-changers. As for the benefits of using a graph database to underpin the system, Meza believes there are a number: When you’re handling relationship data from disparate data ...