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

Sales, a function that obviously runs on language, has been among the least changed by the technology built on language.

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

In ‘Quiet Connected’, IIM-A graduate shares ways to build networks that could work when you need them to. His frameworks, ...

The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...

While AI holds the promise of radically transforming KM, human oversight takes on intensified responsibilities for ensuring the knowledge provided is accurate, timely, and relevant as well as guarding ...

People use their bodies—not just their brains—to think. So the MIT Project on Embodied Education brings movement to the ...

Incogni Review: Comprehensive and Transparent Data Removals ...

ESET researchers assisted in the global disruption of the Amadey botnet and Stealc infostealer, providing technical analysis, ...

Image courtesy by QUE.com As we navigate the landscape of 2026, we find ourselves no longer merely using Machine Learning (ML) but ...

The Linux Foundation, the nonprofit organization enabling mass innovation through open source, today announced Akrites, a ...

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...