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

Every few months, a new AI tool promises to transform legal work. The demos are impressive. The capabilities are real. And ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

Generative AI services and tools that use tokens to produce results can get expensive quickly. That’s spurring IT leaders to look for new ways to reduce token use — and save money. Because generative ...

Enterprise artificial intelligence context startup Jedify Inc. today announced that it has raised $24 million in new funding to build what it calls context graphs that give AI agents the business ...

Most schema audits evaluate pages in isolation. The real gap is relationship integrity, and that's what AI systems need to synthesize, recommend, and act. A recent announcement from Common Crawl ...

Starburst Data Inc. today is expanding its push into enterprise artificial intelligence with the introduction of a platform aimed at allowing organizations to run AI workloads directly on distributed ...

As regulatory authorities in the UK open applications for operators to run autonomous taxis, buses and private-hire cars, scalable software-defined vehicles (SDVs) venture Ignite by Forvia Hella has ...

Yugabyte, the distributed AI database expert, is debuting Meko, an agent-native data infrastructure designed specifically for multi-agent AI systems that work and learn together. According to Yugabyte ...

In this video we will explore the basics of solving a linear equation using the graphing method. Remember when graphing a system of equations we are looking for the intersection point. 00:00 intro ...

Abstract: This paper introduces a novel graph signal processing framework for building graph-based models from classes of filtered signals. In our framework, graph-based modeling is formulated as a ...