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

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

I’ve tested a lot of Wi-Fi routers over the years, and they’re pretty much always better than the one you’d get from your ISP ...

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

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

The funding round was led by Norwest, with participation S Capital VC, Cerca Partners, and Oceans Ventures. Snowflake Ventures also participated as a strategic investor.

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 ...

A smarter workspace for modern notes.

Legal AI tools have moved from novelty to necessity. Firms have signed contracts, run pilots, and rolled out generative AI assistants with ...

Sudhir Hasbe, Neo4j's President and Chief Product Officer, on the strategic shift behind the GraphAware deal, what "open ...