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 Materials Discovery Systems

Summary - IEI has been active in many areas of materials discovery since its 1995 inception, with its initial activities centered upon theoretical chemistry for the US Air Force, during which time the concept of the Creativity Machine® paradigm was first validated by government scientists. As a result of this effort, new and technologically valuable materials were discovered for the military. Since that initial project, Imagination Engines has been engaged by several commercial entities to likewise discover new ultrahard, superconducting, supermagnetic, electro-optical, metallurgical, and composite materials. 

Details - In 1995, few if any experts in any field, were willing to admit that a computer could creatively out think them, or that it was worth their time and effort to constructively critique the output of such a "mere" machine. Therefore the problem of validation of this creative AI principle on anything other than "toy" problems remained a major challenge.

Fortunately, there was a solution, albeit a schizophrenic one: Our founder, the inventor of the Creativity Machine® Paradigm, had just departed a large aerospace company that was deeply interested in generating new and exotic materials, in particular ultrahard materials, such as diamond, that could coat susceptible airframe components such as landing gear, canopies, and hypersonic wings. Having an understanding of the physics and chemistry underlying such materials, he decided to build a Creativity Machine that could predict new ultrahard compounds, with the intention of changing hats, so to speak, and then scrutinizing the results to see if they made sense from a chemical physicist's, and not an AI practitioner's point of view. 

To make a long story short, the new materials did make perfect sense to our founder's alter ego, since they obeyed the general preconceptions of solid state physics as to what constituted an ultrahard material.  But the big difference here was that this inventive machine intelligence had no understanding of centuries of human-accumulated science. Instead, one network, the imagitron, had been exposed over just a few seconds to a database of known chemical systems, thereby absorbing the "zen," if you will, of what constituted a plausible chemical species. Another network, the perceptron, learned by rapid exposure to known chemical compounds and their hardest possible phase. Suitably stimulated with synaptic noise, the imagitron generated plausible chemical entities it had never directly experienced as the perceptron predicted the hardness of each of these new materials, storing away the resulting, expansive materials database.

In just a few months, this confidence building exercise for the inventor, became an enticement for U.S. Air Force scientists, who invited a collaborative AFRL SBIR effort to build an "encyclopedia of could-be materials," the end product of a Creativity Machine working for five days to generate a compendium of over a half million chemical compounds along with their anticipated chemical and physical properties. Under a subsequent AFRL SBIR, a chemical plasma reactor was controlled by a Creativity Machine to optimize performance of the ultrahard coatings it produced. Later in n a $3M NIST contract, a hierarchical cascade of neural networks knitted themselves together using SuperNet principles to better understand the processes at work within the aforementioned chemical reactor.

Shortly thereafter, Creativity Machines were harnessed to solve a variety of materials problems, including (1) a European project to optimize wear coatings on various wire products, (2) the synthesis of new supermagnets that bypassed the need for costly neodymium, and (3) recommendation of metallurgical blends for hip implants.

Providing the keynote address to the American Concrete Institute in 2004, our founder demonstrated the ability to replicate a multimillion dollar effort in concrete formulation in just a split second at the speakers' podium. ...This is the power and cost savings of the Creativity Machine!

See also: Autonomous Ultrahard Materials Discovery via Spreadsheet-Implemented Neural Network Cascades | Integrated Substrate and Thin Film Design Methods

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