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

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

An MCP memory layer for agents: structured storage, semantic retrieval, graph relations, and source-backed cross-session context. Absorb agent work into durable graph memory, then use ...

Abstract: The arrival of the digital era has put forward an urgent demand for the digitization of metrology. The digitization of metrology vocabulary is the basis for realizing the digital ...

Abstract: The increasing reliance on Large Language Models (LLMs) for health information seeking can pose severe risks due to the potential for misinformation and the complexity of these topics. This ...