Aiomics deploys ”Med-Graph” architecture to impose logic on generative AI

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

Enterprise AI and the semantic core: Building an OS for knowledge

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.
IEEE

A Data-Driven Graph Model Approach to Critical Care Patient Clinical Trajectory Prediction

Abstract: The advent of increasingly available patient health data has created opportunities for critical care medicine to embrace modern data-driven decision support. However, existing methods, such ...
InfoWorld

AI is changing the way we think about databases

The database is no longer just where data lives, but where context gets assembled – and in AI, context is everything.
InfoWorld

With AI, the database matters again

AI is changing the way we think about databases. You can’t have reliable AI agents without reliable data infrastructure.
GitHub

FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity

Federated graph learning advances the field of federated learning by enabling privacy-preserving collaborative training on distributed graph data. Conventional federated graph learning methods excel ...
IEEE

MTE: Multi Transformation of Entities in Quaternion Vector Space for Temporal Knowledge Graph Completion

Abstract: Compared with Static Knowledge Graphs, Temporal Knowledge Graphs need to pay more attention to the time when facts occur and these facts will change over time. However, existing models lack ...