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

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 ...

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

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

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.

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

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 ...

Apollo reports that a successful sales pitch connects solutions to buyers' needs, including researching targets, managing nerves, and ending with a clear call-to-action.

Indiana summer could be like Houston by 2080 if climate mediation strategies are not implemented, Notre Dame engineering professor says.

Jumio, the leading provider of AI-powered identity intelligence, today announced that it has significantly expanded support ...

Everpure's data primacy thesis is a bold architectural argument. Across four interviews at Accelerate, its executives made the case about what it actually means for buyers right now.