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

At this week’s TM Forum DTW Ignite conference in Copenhagen, industry leaders gathered to evaluate how agentic AI — the ...

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

Ninth Annual Program Honors the Top Innovators Shaping the Future of Artificial Intelligence LOS ANGELES, June 30, 2026 (GLOBE NEWSWIRE) -- AI Breakthrough, a leading market intelligence organization ...

VS Code’s secret weapons ...

Compare NotebookLM with Notion, Obsidian, Recall, Atlas, and Open Notebook to find the best AI research and knowledge management tool for your workflow.

Where Claude Code shines.

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 ...

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 ...

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 ...

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

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