Security teams, and the AI agents working alongside them, can now re-prioritize their efforts across an entire environment as fast as new threats emerge; Brinqa also expands BrinqaIQAUSTIN, ...

Knowledge graphs give Blitzy's autonomous coding agents the context needed to safely modify large, complex enterprise ...

Achieve precise semantic alignment between humans and machines by establishing a unified, unambiguous consensus framework ...

With the widespread application of space traveling wave tube amplifiers (TWTAs) as core final-stage amplification devices in satellite communication ...

Polars is a DataFrame library written in Rust on the Apache Arrow memory format, and the speed comes less from the language ...

Sui activates GraphQL subscriptions on Mainnet, enabling real-time streaming of checkpoints, transactions, and events after ...

Series: "Ontology in the Age of AI Agents," Part 12Recall the problem raised in Part 4: an AI that confidently answers with ...

Driven“From now on, it’s the era of data-driven.” “Don’t rely on intuition or experience; all decision-making must be based on objective numbers.”For the past decade or so, there hasn't been a day in ...

Who is PuppyGraph? PuppyGraph is a zero copy graph query engine designed to tackle the massive complexity that arises when ...

A government proof of concept used AI to write graph database queries for supply chain analysts, and concluded a hybrid of AI and approved queries works best.

Google and the UN launched the UN System Data Commons on Sept. 17, replacing the UNData portal with an AI-ready knowledge graph spanning 26 agencies and 44 million data points.

A proof of concept developed by data science and machine learning engineers at the Department for Business, Innovation, Science and Trade (BIST) has shown that artificial intelligence can translate ...