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

Interferon receptor knockout chickens uncover how type I and III interferons differentially shape avian antiviral immunity and influenza disease outcomes.

Omnicom (NYSE: OMC) today announced the launch of Acxiom Fan Graph, a new sports marketing intelligence solution anchored by Real ID™. The platform unifies data signals across media, commerce, ...

Telecom networks generate an enormous amount of operational data, and the people running them have spent years trying to make sense of it at scale. A modern 5G network exposes dozens of metrics per ...

Norwest leads the round with strategic participation from Snowflake Ventures, as Jedify addresses the AI context problem that major model providers can't solve NEW YORK, June 10, 2026 (GLOBE NEWSWIRE) ...

Scientists have shown that brain connectivity patterns can predict mental functions across the entire brain. Each region has a unique “connectivity fingerprint” tied to its role in cognition, from ...

Atlas RFID selected Graph-Tech USA’s RFIDRunner to meet rising demand for high-speed UHF RFID label production across North America. The system has helped Atlas double output compared with ten thermal ...

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a ...

Hamza Haq serves as a writer for the gaming guides and lists department at GameRant, while dabbling in news coverage on the side. Based in Pakistan, he has been writing professionally about games ...

Not long ago, creating a solid presentation, a clean infographic, or a sharp data visualization meant you either knew your way around design software or you paid someone who did. That has changed, ...

Opinions expressed by Digital Journal contributors are their own. Post-production has always been where raw footage becomes a finished story, but the tools shaping that process are continuing to ...

Abstract: In the graph-based semi-supervised learning, the Green-function method is a classical method that works by computing the Green's function in the graph space. However, when applied to large ...