Download Explainable AI Whitepaper

AI can deliver amazing answers to seemingly insolvable problems, but it’s often a black box. You can’t see the “why” behind the answers. Here’s why explainability in AI matters.

New VP of Data Science and Analytics Role

Natural Intelligence Systems is proud to announce the appointment of Aimee Lougeé as the company’s Vice President of Data Science and Analytics. Before joining NIS team, Aimee served at the Duke Clinical Research Institute (DCRI).

Explainable AI: Pattern-based Machine Learning in Practice

Pattern-based AI gives data scientists new tools for helping interpret and understand their data and the predictions being made. Think of our pattern-based AI as an X-ray of your ML model – Allowing you to see the inner workings of its predictions.

Explainable AI: Why it Matters

AI can deliver amazing answers to seemingly insolvable problems, but it’s often a black box. You can’t see the “why” behind the answers. Here’s why explainability in AI matters.

The future of AI isn’t Artificial. It’s Natural.

To keep the capabilities of AI progressing, the future of AI models will need to more closely align with the biological model for human intelligence. The hardware and software must evolve in order to exhibit more natural intellect and processing capabilities.