Complexity

QCM is Artificial Intuition.

The Quantitative Complexity Theory (QCT) has been conceived around a complexity metric discovered in the early 2000s by J. Marczyk and his team. Based on the theory, a technology has been built – Quantitative Complexity Management (QCM). Both software and hardware solutions have been developed.

QCM is a new form of Artificial Intelligence that reaches beyond the conventional Machine Learning (ML) approach. The main problem with Machine Learning is that it requires numerous examples in order to recognize and classify patterns. While this works well when it comes to recognizing a face or handwriting, in the case of expensive and complex military hardware it is impractical. The fact is that there are not enough anomalies to learn from. Such anomalies can be hugely expensive and nobody – manufacturers or users – can provide a sufficient number of cases from which to learn. Besides, the number of possible anomalies is immense and it is impossible to define and learn to recognize them.

The key feature of QCM technology is that it is able to recognize the existence of anomalies the first and only time it is confronted with them. It is also able to pinpoint their sources thanks to a technique known as Complexity Profiling. This capability is particularly attractive as it functions independently of the fact that a particular piece of hardware or system is upgraded, modified, or even damaged during a mission. In all such cases ML would not work as one would need to train it anew each time a given system undergoes changes.

QCM, on the other hand, is like human intuition, like instinct. Anyone can feel that something is wrong by listening to a running engine which produces a strange sound without being a trained mechanic. This is why we say that:

QCM is Artificial Intuition

Intuition is a form of knowledge that appears in consciousness without obvious deliberation. It is like a voice that doesn’t use words. Artificial Intuition is a new paradigm. This capability of the QCM has been illustrated in its ability to recognize counterfeit electronic components without any prior training.

The reason why Artificial Intelligence is truly artificial is because it looks at things from the cold perspective of the so-called Data Science (by the way, what science is that? Is it statistics?). What sets QCM apart from AI is that it is deeply rooted in physics, not in numbers.

Merriam Webster: Definition of intuition

1a : the power or faculty of attaining to direct knowledge or cognition without evident rational thought and inference
b : immediate apprehension or cognition
c : knowledge or conviction gained by intuition
2 : quick and ready insight

This is what QCM is. This is what QCM does.

www.ontonix.com

Established originally in 2005 in the USA, Ontonix is a technology company headquartered in Como, Italy. The unusual technology and solutions developed by Ontonix focus on countering what most threatens safety, advanced products, critical infrastructures, or IT network security - the rapid growth of complexity. In 2007 the company received recognition by being selected as Gartner's Cool Vendor. What makes Ontonix different from all those companies and research centers who claim to manage complexity is that we have a complexity metric. This means that we MEASURE complexity. We detect anomalies in complex defense systems without using Machine Learning for one very good reason: our clients don’t have the luxury of multiple examples of failures necessary to teach software to recognize them. We identify anomalies without having seen them before. Sometimes, you must get it right the first and only time!

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