Imagination Engines, Inc., Home of the Creativity Machine


The Big Bang of Machine Intelligence!

Imagination Engines, Inc., Home of the Creativity Machine
The simple
  • Three Generations of Creativity Machines

    The simple, elegant, and inevitable path to human level machine intelligence and beyond, the Creativity Machine Paradigm, US Patent 5,659,666 and all subsequent foreign and divisional filings.


Wall Street Journal: Can an AI System Be Given a Patent?

Fast Company: Can a robot be an inventor?

BBC: AI system 'should be recognised as inventor'

Financial Times: Patent agencies challenged to accept AI inventor

Futurism: Scientists are trying to list AI as the inventor on a new patent

The Disruption Lab: The disruption that is DABUS: Beyond AI

ACT-IAC: The dawn of conscious computing

WIRED: This artificial intelligence is designed to be mentally unstable



IEI's Patented Advanced Machine Vision Systems

Summary - IEI holds the basic patents for enabling large assemblies of artificial neural networks to connect themselves into complex neural architectures that emulate the visual pathways of the brain. Using  this extremely valuable capacity for autonomous brain building, our company excels beyond all others in creating neural systems that can detect anomalies, even within dynamic scenes, and then readily classify objects and scenarios independently of scale and viewing angle. In both of these cases, the need for rule-based programming is greatly minimized (if not completely eliminated) and finished products may be realized in a small fraction of the time and expense required of conventional machine vision applications, neural network-based or otherwise.  

Details - The success of our machine vision effort stems from three fundamental technologies developed by IEI over the last decade:

(1) STANNOs, totally autonomous artificial neural networks that adapt without recourse to explicit learning algorithms and can train on all million or so bytes present with the individual camera frames on millisecond time scales.

(2) IEI's Supernets™, systems of STANNO modules that interconnect themselves to create the equivalent of the brain's vision pathways.

(3) IEI's "crown jewel," the Creativity Machine®, that is capable of considering multiple interpretations of a given object or activity, shifting such perception to fit the overarching situation.

Combining all of these principles, IEI has recently completed an autonomous targeting exercise for the U.S. Air Force in which a multi-aspect model of a designated target is learned nearly instantaneously, thereafter remaining locked on the intended target during UAV ingress. Unlike some of the movies you've seen from the battlefield, showing a fairly static aerial image of a target under attack, this SuperNet system is typically dealing with high levels of buffeting and high roll rates of an airframe while remaining visually locked on to a target that is rapidly changing size and orientation.

Since 1998, IEI has been active in many areas of machine vision, beginning with Air Force activities related to bomb damage assessment (BDA) and multi-spectral vision applications. Later, our self-assembling neural systems served as the primary sensory channel for contemplative robots, beginning in 2005, with NASA Langley's Trinity robot, and again in 2007, with NASA MSFC's simulated space docking robot that effectively formed its own control system around an equally self-forming machine vision system.

Attracting the interest of the automotive industry, STANNOs, SuperNets, and Creativity Machines IEI were combined into the design of various safety systems now incorporated into higher end cars and light trucks, such as side object detection, lane departure warning, driver identification, driver drowsiness detection, automated high-beam light control, and child detection. In its most recent joint venture with a major automotive safety company, IEI has set a new standard for detecting pedestrians in the roadway.

Working recently under contract with the Department of Homeland Security (DHS) and the Transportation Safety Administration (TSA), the company has completed a demonstration project for airport security that integrates camera views from runways, ramps, and passenger drop off areas to both detect and classify anomalous objects and behaviors.


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