As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

These are two examples of how climate scientists manipulate data to generate scary-looking charts. Global warming is real, ...

Oracle Database 26ai embeds AI capabilities directly into production databases, enabling enterprises to deploy AI securely ...

Heterogeneous graphs organize data with nodes and edges, and have been widely used in various graph-centric applications.

Google’s Gemini bet on Gmail highlights why inbox data may be the deciding factor in who wins AI-powered commerce.

Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs ...

The US West is in a snow drought, according to the National Integrated Drought Information System (NIDIS). Snow-covered area across the western United States was 34 percent of ave ...

The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...

Aiomics announces the integration of a Hybrid GraphRAG engine into its clinical platform. By anchoring artificial ...

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