Whether data has been certified for the purpose it now serves must be addressed at the same architectural level as the ...

The data layer underneath an agentic system must handle variable schemas, vector embeddings, real-time retrieval, and ...

The AI initiatives that are stalling right now are failing because of what sits beneath the AI, and that's a problem leaders ...

The potential applications of DTs extend beyond individual patient care to public health surveillance, hospital resource management, and epidemiological modeling. However, several challenges persist, ...

Abstract: With the rapid development of cloud computing and service computing, service recommendation systems play a crucial role in helping users efficiently filter the appropriate services. However, ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

FlureeDB acts as a secure context layer fit for autonomous systems: pull from many data sources wherever they live, answer structured queries ...

S2DM is an approach for modeling data across multiple domains. It is designed to be simple and accessible for Subject Matter Experts (SMEs) while incorporating semantic principles to define meaningful ...

Abstract: In semantic communication, model inversion attacks and adversarial attacks pose a major threat to both data privacy and system mission performance. This article adopts an attacker-centric ...