AI outputs vary because confidence varies. Corroboration and entity optimization turn inconsistent AI visibility into consistent presence.

How South Korea is using AI, algorithms and automated surveillance to detect crypto market manipulation faster and at a ...

Testing isn't optional. Every AI platform interprets your data differently. What works perfectly in ChatGPT might fail completely in Perplexity. Test ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Growing Ecosystem Airia's MCP Apps support arrives alongside rapid ecosystem expansion. Recent additions include integrations with Salesforce, NetSuite, Nexar, Grafana, Excalidraw, Asana, Snowflake, ...

Discover how Proof of Humanity (PoH) in cryptocurrency verifies real users through blockchain, combats sybil attacks ...

Medicomp Systems, a leading provider of evidence-based clinically intelligent data solutions, today announced a new suite of intelligence tools designed to help health tech organizations deploy ...

This proteomics-driven approach to drug discovery improves target validation and uncovers insights into undruggable proteins, ...

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 ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Eucalyptus trees, laden with flammable oils, could spread into Portugal's south-central region by 2060 if changing climate ...

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 ...