This post is from our data newsletter, the Rural Index, headed by Sarah Melotte, the Daily Yonder’s data reporter. Subscribe to get a ...

An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data ...

Memgraph has been recognized as a responsive company in the Knowledge Graph market on the 360Quadrants platform powered by ...

Small language models do not require vast amounts of expensive computational resources and can be trained on business data ...

If you have ever felt overwhelmed by information or struggled to leverage your knowledge effectively, you're not alone. I ...

A scientist gives an answer to a long-standing question in theoretical glass physics: what does it mean to be an order parameter for an inherently out-of-equilibrium system? Starting from first ...

In the UK, the 2023 Economic Crime and Corporate Transparency Act (ECCTA) was introduced to tackle economic crime and improve ...

GNNs are useful for modeling links and relationships between nodes in a network and are commonly used in recommendation systems, knowledge-graph answering ... machine learning performance and promote ...

“However, for the government to proceed to conduct tests of new technology on its citizens without their knowledge borders on politically ... of government is moving towards shutting down on ...