The Next Generation of AI Requires a Novel Approach Inspired by How the Brain Actually Works

Today’s machine learning systems are built on an old theory of how the human brain works – a mathematical theory that believes our brains process and understand information using calculations. 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?

We believe the promise of artificial intelligence cannot be achieved with outdated theories and legacy machine learning models. The next generation of AI requires a truly novel approach that is inspired by the way the brain actually works.

Natural Intelligence Systems is dedicated to building the software and hardware that will emulate the pattern-based learning of the human brain and provide the new level of context and explainability to our AI systems.

The Natural Intelligence Team

Paul Dlugosch

Indranil Roy
SVP of R&D

Matt Tanner
VP Customer Engineering

Terry Leslie
VP Government & Enterprise Sales

Aimee Lougee
VP Data Science & Analytics

Raino Zoller
VP Marketing

Ray Hirschi
Chief of Staff

Dan Skinner
VP Product & Strategy

Russ Lloyd
VLSI Design
Bill Tiffany
VSLI Design
Eric Neeley
SW Architecture

Harold Noyes
Senior Architect

Dave Roberts
VLSI Design Manager