Ingeniation AI Research and AI Technology: What Are We Aiming For?

AI technology that can achieve general machine intelligence is widely considered to be potentially the most profound and disruptive technological breakthrough in human history, bringing with it huge potential and novel opportunities.

Ingeniation is determined to play a leading role in this unprecedented upcoming ‘Event’ which we believe will spawn a whole new ‘era of intelligence’. The world changing reality of this era will be intelligence becoming an abundant resource.

We are working towards becoming a leading technology provider for autonomous, general-purpose intelligent systems to enable solution providers and research organisations to develop new advanced AI systems and applications.

Ingeniation contributes to the exploration of general machine intelligence with an original and highly unconventional technological approach which is grounded on holographic principles. We believe the creation of true machine intelligence demands a complete departure from contemporary software technology and requires us to replace it with a ‘new form of software’, one which has an intrinsic self-construction capability.

Figuratively speaking, we are inventing a ‘fluid form software’ which is continually changing and has the capacity to construct and improve its own processing logic on-demand, ad-hoc and in real-time.

How Is Ingeniation Different From Most AI Companies?

Conventional AI technology, also called ‘narrow AI’, is produced by mathematically inspired machine learning techniques such as deep neural networks and many other algorithmic approaches and architectures. These techniques generally require strong levels of human programming and intervention, simply because a programmer must ‘plant’ an algorithm into the solution, otherwise nothing would work at all. Many AI companies work with this methodology.

Narrow AI solutions must be designed, programmed, trained and optimised by human engineers to achieve tasks in a predetermined, limited set of domains. Once created they are fixed and are not able to extend or transfer their capabilities to completely new tasks or different domains. Narrow AI systems can only do what they have been designed for. However, they neither understand what they are doing nor are they truly creative or inventive to change their ignorance.

Learn More About Narrow AI vs Strong Artificial Intelligence Here.

After more than 17 years of his own AI research, Ingeniation founder Wolfgang Bartelt has come to conclude that the limitations of conventional AI technologies mean that no level of advancement could ever lead to anything close to human-like or human-level intelligence.

At Ingeniation we are developing a highly unconventional and radical new AI technology which builds upon a unique, mind-like cognitive architecture developed by Wolfgang Bartelt. The core foundations and principles are based on Wolfgang’s own theories and concepts about how true machine intelligence can be created.

Our Unique Approach to Machine Intelligence

Ingeniation AI technology is fundamentally different from conventional AI technologies in that it is developed from the ground up as non-algorithmic. It does not require any programmer to plant an algorithm into it but instead manifests itself as the programmer. More precisely, in our approach we model a mind-like system as a ‘programmer’ programming itself, i.e. a self-programmer.

Question: What Does a Self-Programmer Do? Answer: It Does Programming!

The key to understand how something like a self-programmer could be achieved is to gain a solid understanding of how software programming works. This endeavor leads to the notion of Software Production Systems. In a scientific paper Ingeniation presented recently at the BICA 2018 conference on biologically inspired cognitive architectures, we have systematically explored the notion of Software Production Systems and explained in detail how they potentially relate to the field of artificial general intelligence.

Any closer examination of sophisticated software engineering organizations quickly reveals that software production is a highly complex matter, which by no means could be expressed in a small set of mathematical formulas. However, according to our research there exist different categories of Software Production Systems, whereas each category reflects a different level of sophistication in software production capability. In principle, any software engineering organization on this planet could be placed into one of such categories, therefore telling us how developed their software production capability is.

What is Intelligence, Really?

Intelligence is the process of creativity applied to itself; a ‘programmer’ programming itself in a never-ending act of invention.

At Ingeniation we believe that intelligent systems essentially form a category of self-referential Software Production Systems which are capable to produce highly complex, software-alike processing logic on-demand, ad-hoc and in real time, and self-program to do better and better the more software-alike processing logic they have produced. This is simply analogous to a software organization producing some type of software application and learning to do so with ever increasing efficacy and efficiency as they produce many software releases over time.

Imagine a very large, most highly sophisticated software company developing software solutions for whatever a customer or market at hand needs. Imagine you have a new project with them with a complexity surpassing everything done in software before by several orders of magnitude. Imagine you get the turn-key solution for your complex problem during the first second after the project had started. How could they do that? Did they somehow manage to automate all their engineering tasks into a computer program and just executed it to develop a problem solution for you in the blink of an eye?

How Do We Do It?

We believe that real-time production of processing logic is the missing ingredient to achieve artificial general intelligence. However, unfortunately even the most sophisticated software company on this planet could not do anything like that, not even in principle. The problem to overcome here lies at the heart of contemporary software technology. It is made by humans for humans and cannot do without humans on any respectable scale. Thus, trying to copy state of the art software engineering practice into a software program, and then run it, is just not feasible, albeit heading in the right direction.

Ingeniation is working towards something much bigger. In order to make real-time Software Production Systems possible we have invented an alternative to contemporary software technology, a new kind of ‘software-alike’ technology based on a holographic principle. To avoid any confusion, note that our technology just follows a holographic principle rather than producing real holograms, i.e. as in photography and/or imaging. Our AI technology creates holograms which reflect a certain kind of program code.

We use the expression ‘holographic principle’ in terms of being analogous to the proposed existence of a holographic principle in quantum physics. The holographic principle we are dealing with at Ingeniation potentially enables a system to generate highly complex processing logic as a holographic projection generated in the interactions of its constituent parts.

In such a system, any change in the interaction of its constituent parts causes an immediate change in the ‘form’ of the holographic projection. Any change in the ‘form’ of a holographic projection implies an immediate change of the processing logic associated with it, i.e. a new ‘program’ is created. The key to achieve general intelligence is to assure that the processing logic of any newly created program reflects the concerted performances of a self-referential Software Production System. We believe we have this key in our hands.

Contact Ingeniation to learn more about our unique approach to AI technology and AI research