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.

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 ...

Graphon AI emerged from stealth with $8.3 million in seed funding to build a “pre-model intelligence layer” that discovers relationships across multimodal enterprise data before it reaches a ...

Abstract: The extensive range of food safety standards poses a significant challenge to efficiently accessing specific information within this domain, necessitating innovative solutions to streamline ...

The next competitive frontier in financial AI is not a better model. It is a better representation of how your organisation actually works. The financial services industry has spent the better part of ...

Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...

With the rise of language models for generating images from text, SolidUI wants to help people quickly build visualization tools. The visualization content includes 2D, 3D, and 3D scenes, so as to ...