Natural Intelligence Blog
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.
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.
Natural Intelligence Systems Graduates from DARPA VIP Program
Natural Intelligence Systems was a performer in the DARPA VIP program. During this program we validated the Third Wave AI capabilities of our pattern-based machine learning system.
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).
6 Signs you need Natural Intelligence for your machine learning solution
Today’s neural networks use complex math that requires huge training data and computational horsepower. The Natural Intelligence Neuromorphic system uses patterns- enabling it to learn quickly with small amounts of data like the human brain.
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: Pattern-based Machine Learning vs. Neural Networks
With Natural Intelligence, explanations are inherent to our pattern-based model because the data is preserved all the way from the input of the system to the output prediction.
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.
