GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search optimization. Making your brand machine-readable and increasing its chances of being ...

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

A new AWS Forward Deployed Engineering organization will embed thousands of experts with customers to co-develop and deploy ...

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

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

Abstract: Knowledge graph embedding (KGE) aims to learn high-dimensional representations of graph structures for various downstream tasks. However, knowledge graphs (KGs) are vulnerable to adversarial ...

Karpathy’s self-evolving knowledge system offers a structured method for organizing and refining information, with direct applications in AI-driven coding workflows. Its three-layer architecture, ...

Microsoft says that an ongoing Universal Print sharing issue that prevents users from creating some printer shares is due to a Microsoft Graph API code change. Universal Print is a cloud-based print ...

Artificial intelligence has become central to supply chain risk management. Companies are deploying predictive models, control towers, and agentic systems to monitor disruptions across suppliers, ...