I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

This youth self-organization project encompasses multiple innovative directions, reflecting the broad application prospects of AI technology in the railway sector. The projects include: AI contract ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Apple has formed a new team to build a ChatGPT-like app, according to Bloomberg’s Mark Gurman. This team — reportedly called Answers, Knowledge, and Information — is working to build an ...

Think of knowledge-graph-powered data catalogs as the search engine for the data in the enterprise.

Before developing a knowledge management strategy, it’s vital to define clear objectives that align with your organization’s mission. These goals—whether aimed at improving decision-making, boosting ...

Hyundai Motor and Kia Corporation are collaborating with the South Korean government to develop a next-generation, connected digital tachograph.

As the application of knowledge graphs becomes increasingly widespread, the issue of knowledge graph incompleteness has garnered significant attention. As a classical type of non-euclidean spatial ...

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

All cyber skills are vital, but a few ‘critical elements’ require highly specialized knowledge that takes significant time and investment to develop for a secure future.

Learn how GraphRAG transforms unstructured text into structured data, revolutionizing AI retrieval with deeper insights and connections.