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Natural Intelligence Systems
Natural Intelligence Systems
naturalsemi.com

Locations

United States · Boise, ID, USA · West Boise, ID, USA · Idaho City, ID, USA

industry

Computer Hardware · Hardware

Size

11-50 employees

Stage

Other

founded in

2016

Natural Intelligence Systems is an artificial intelligence company that uses a pattern-based machine learning system based on how the human brain actually works. Our neuromorphic computing system requires very little data, so people can make smarter and faster decisions with greater confidence than they can using traditional AI. We now know that the human brain uses patterns to process data and learn. So if our brains are pattern-based, why is current AI technology – which claims to mirror the brain – still based on old mathematical theories? The next generation of AI requires a novel approach inspired by how the human brain actually works. That's why we've reinvented how intelligence can be extracted from information and placed it into a cloud service that data scientists will immediately recognize. With a better algorithm, we package ours in an API that allows easy integration into customer applications. Natural Intelligence allows data scientists to integrate more intelligence into their AI systems and enables their organizations to make better decisions in less time. We're leveraging the most advanced neuroscience to build better, more intelligent systems. Our founding traces back to our work at Micron Technology, where we developed the world's most powerful and efficient pattern processor. Data scientists are yearning for more explainable and insightful AI that can work with the imperfect data sets they have. Our neuromorphic machine learning system provides unsupervised learning, explainable results, anomaly detection, and incremental training. Our pattern-based machine learning architecture pushes past the constraints of today’s AI/ML systems by delivering more useful, understandable, and actionable information. Natural Intelligence Systems is dedicated to building the software and hardware that will emulate the pattern-based learning of the human brain and provide a new level of context and explainability to our AI systems.


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