For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

Firms that fail to shine light on their dark data risk ceding the high ground in insights and inviting risk exposures lurking ...

This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

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

Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

Abstract: In this article, we present a novel nonuniform sampling technique, based on the pipeline of rapidly exploring random tree (RRT), for efficiently computing high-quality collision-free paths ...

As the core carrier of Dou Shen Education's AI strategy, the Learning Companion Robot is equipped with Baidu Smart Cloud's ...

Infinigraph is a new distributed graph architecture that allows Neo4j’s database to run operational and analytical workloads ...

Roll Tide! No that’s more like it. This graphing column, I’ll admit, is a much more interesting read when we’re breaking down ...

During the deprecation phase, no new features will be added and Microsoft will only be addressing critical vulnerabilities.

On September 11, 2025, Tencent officially announced the open-source release of its latest research and development, the Graph Retrieval-Augmented Generation framework—Youtu-GraphRAG, aimed at ...