Many teams are approaching agentic AI with a mixture of interest and unease. Senior leaders see clear potential for efficiency and scale. Builders see an opportunity to remove friction from repetitive ...

The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...

AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

New platform indexes over 50,000+ open source projects with daily AI-powered updates, positioning itself as the go-to ...

Cuts out the Azure middleman with multi-year deal for 'tighter alignment' Snowflake plans to spend as much as $200 million ...

Satellites and spacecraft in the vast region between Earth and the moon and just beyond—called cislunar space—are crucial for ...

Satellites and spacecraft in the vast region between the earth and moon and just beyond - called cislunar space - are crucial ...

Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...

Learn how to secure Model Context Protocol (MCP) deployments with post-quantum cryptography and agile policy enforcement for LLM tools.

Who needs humans when a purported 1.5 million agents trade lobster memes and start their own religion? Moltbook, vibe-coded by Octane AI founder Matt Schlicht in a weekend (he cla ...