Additional Information


All approaches to A.I. have their strengths and weaknesses. We see the different approaches complementing each other. As far as we can see, SMARTCORE is the only truly brain-based approach available at this time. It enables us and third parties to create products delivering results in areas too challenging with today’s approaches.

Patents have been granted.

Why it works

  • The limiting elements of the brain leave little room. After filling some gaps we had a programmable algorithm.
  • The grant of patents confirms novelty and soundness.
  • With the partially programmed algorithm, we can demonstrate how the brain could do the tasks of reading and finding the correct spelling of words when the letters are mixed. More…
  • Feel free to ask developers of traditional A.I. programs whether they work with forgetting and the disabling of neurons. If not: without forgetting, too much ‘noise’ impacts the quality of results negatively. Without disabling of neurons, A.I. applications may demonstrate symptoms of autism.

Why others Missed this Opportunity

At first, there were the inventor’s experiences around his son’s ADHD (emotional outbursts) and dyslexia (difficulty to learn reading). After accepted treatments had delivered insufficient results, he found an existing treatment delivering breakthrough results. This happened when he discovered unconventional therapies demonstrating patterns of removing traffic jams in the brain. This was something he had done in his profession with data center computers. One such technique is shown to us when car navigation systems recommend alternative routes to avoid traffic jams.

With these experiences, he went to brain research. While it turned out capacity bottlenecks (bottlenecks create traffic jams),  have been reported to exist in the brain, he could not find research that had utilized the techniques to remove traffic jams in the brain (potential exceptions in the field of brain damage). Capacity management just didn’t seem to fit in any of the research disciplines. This led to the following question: Could it be something similar was going on when it comes to how the brain processes information? This turned out to be the case.

Individual architectural elements of the brain have been identified in a large amount of publications. It had also been suggested that the brain may operate by a single algorithm. However, nobody appeared to have approached it from the few elements that narrow the boundary within which the brain’s information processing must happen. This changed when Jeff Hawkins published On Intelligence. Though, his model missed a few elements. After our inventor added such elements, a more specific and programmable model was found.

Filling the gaps between the algorithms. Making the pieces fit