Abstract: Answering logical questions with a knowledge graph has been a critical research focus because this needs to reason and synthesize information. Previous studies have mainly dealt with logical ...

Why every eCommerce platform needs a knowledge graph: better search, smarter recommendations, and AI-powered enterprise ...

Energy giant Schneider Electric is to acquire Cognite, an industrial data and AI software company, in an all-cash transaction ...

Incogni has wide-reaching coverage, but it lacks third-party efficacy testing data.

The startup launched its LLM, Base 1, to deliver better designs and user experience than frontier models.

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Couchbase unveils Couchbase AI Data Plane to provide a single, governed data layer for AI agents running in production.

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

The best agentic AI innovation in 2026 includes AWS Agentcore, Google Gemini, Microsoft Copilot, Cisco, Databricks, Dell Deskside, Nutanix Agentic AI and VMware.

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

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

AWS Context is a self-learning knowledge graph for enterprise data — it propagates agent-discovered relationships automatically, with no manual re-curation needed.