General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document ...

Objective: This study aims to develop a comprehensive sepsis knowledge graph by leveraging the capabilities of LLMs, specifically GPT-4.0, in conjunction with multicenter clinical databases. The goal ...

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search ...

Spread the love“`html In a move that few anticipated, Google has unveiled a groundbreaking open standard for AI agents called the OKF AI standard. Launched in June 2026, this innovative framework has ...

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

According to Anthropic, scientists often spend a lot of time moving between research databases, coding tools, notebooks and ...

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

For more than three decades, researchers studying genomes have relied on foundational resources such as Repbase and, more ...

"I honestly think New York is the greatest city in the world," Jeter said about attending the Knicks championship win. "There ...

Stonebraker essentially abandoned Postgres in the mid-1990s. But instead of fading into obscurity, the codebase was salvaged ...

Attackers are actively exploiting path traversal and SQL injection in Langflow, LangGraph, and LangChain — below where your ...

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 ...