Numerical Certainty Vs. Uncertainty
In Sidelights on Relativity (1920), Albert Einstein stated: “As far as the laws of mathematics refer to reality, they are not certain; and as far as they are certain, they do not refer to reality.”
The second assertion of the quote is valid. Things defined perfectly by mathematics (e.g. a cylinder) can indeed not be found in reality because they are not produced or manufactured absolutely perfectly and contain some level of imperfection or variation. The first statement of the quote about mathematics not referring to reality though is only valid because of insufficiencies in current, uncertain mathematical approaches.
For too long, the challenges and missing formulas to solve the numerical certainty problem have been postponed by the scientific community simply declaring numerical certainty an impossibility / unsolvable. Marketing term inventions such as “machine learning”, “best fitting”, etc. furthermore distracted from the true problem. The reason for the uncertainty in the underlying numerical process are the estimations, assumptions, and subjective mathematical alignments these methods are founded on.
With the invention of OI Core Technology and its numerically certain analysis, a reconsideration of the first statement by Einstein is now warranted. Numerical Certainty can only be achieved with absolute numerical symmetry in equations. The only way to guarantee this is to independently, diligently, and consequently validate the whole numerical process step by step from start to finish and to the last bit of a microprocessor’s capability.
Any real situation or object can be defined in matrix format (variables and measurements). Perfect symmetry in matrix calculation requires that the multiplication of any input matrix with its absolutely accurate inverse matrix must result in an absolutely accurate identity matrix. A perfect identity matrix must always contain absolute “1” integer values as a result to guarantee numerical certainty. Any deviation from absolute “1” however large or small must be considered a flawed / uncertain result.
The scientific discovery that OI reveals an area of ideal condition (mathematical true value) in anything is the final factual evidence that the new laws of mathematics can determine reality with certainty.
Why Should You Care?
Traditional methods of data analysis are uncertain. Some such methods include best fitting / least squares, bayesian and machine learning. These methods are also used in the foundation of current AI strategies. Unfortunately, all these methods use estimations, assumptions, alignments (physical and/or mathematical) and approximations. The resulting uncertainty can be risky, damaging, and downright dangerous, especially in autonomous solutions.
Always remember, there is only uncertainty or certainty, nothing in between.
Since science and industry are limited to numerically uncertain methods, the knowledge about the status and quality of processes and the degree of efficiency are stuck in the guessing game.
Frustrated with the uncertainty guessing game, Inora set out to walk a path out of the uncertainty world. This was an incredibly complicated challenge and took 30+ years of scientific research, development, and programming (ANSI C).
By switching to OI powered absolute analysis technology, the quality and efficiency of any process can be determined with 100% accuracy in real time.
How Does Inora Use Numerical Certainty To Help You?
Inora is now proud to offer the world a universal numerical operating platform that elevates any numerical process and/or any functional model application to 100% certainty through applied OI Core Technology.
This means that for the first time, artificial limits and tolerances, statistical estimations, irrelevant uncertainty confidence levels, testing against uncertain data basis, etc. become obsolete. Absolute certainty means absolute confidence and accuracy from determining the true reality in any process. Headaches from “best guessing” and misleading results come to an end. Users of OI can confidently apply numerically certain process correction values in real time. OI powered software products do not require cloud computing or immense computational power and can be run on edge devices.
OI software modules can be licensed from Inora and are easily implementable into existing or new digital processes, providing absolute confidence in the certainty of the results they provide.