Trinary Computing

We all use computers, tablets and smartphones. They all have one major thing in common; they all use programs or apps that are based on binary instruction code that uses Ones (1s) and Zeros (0s). The digital world is a system that is based on binary options.
Many of us were exposed to Algebra in Grade School where we learned about the X and Y axis; this is the structure of what are called flat file databases. Data is stored in the X:Y coordinate system. Relational databases are just numerous flat databases stacked on each other; this allows data to be stored vertically as well as horizontally and is an approximation of the Z axis in Algebra. Relational databases are a wonderful innovation that has helped up get to where we are technologically, but they are too limited for where we are going; they are not TRUE vectors that can go in any direction and branch out in any other direction. They tend to be limited to the size of the stacked flat database files and cannot help up with concepts such as Superposition and Entanglement.
Due to these limitations, computer technology went in search of a better way to do vectors and many of us are trying to develop Quantum computing as a solution. There are several giant problems with Quantum; must operate very near to Zero degrees Kelvin, are very expensive (100s of $Millions), can only be afforded by big government/tech giants/primo universities and involves learning an entirely new way of programming which does not interact well with our existing binary code programs/apps. It is very unlikely that Quantum computing will ever get to the desktop/laptop computer, tablet or phone. Billions of $$$s are being spent on this development (with very little ROI).
What if we could get to Superpositioning and Entanglement solutions on our existing processor devices. Yes, even your watches. Not talking about moving Qbits down into the Binary world; not possible.
Revitae Technology has invented a new software coding register that allows our existing programmers to write code/programs/apps that use True vectors. This means that they can go in any direction for very short or long distances (think miles virtually), go at the speed of light, can create branches and trees with vectors in all spherical directions (up, down, sideways). This is Three-dimensional (3D) computing; it uses every part of a sphere; break the sphere down into nested layers (think 10-50,000). Each vector point on each of those layers is a storage location and unlike flat databases, each data point has three unique properties (x, y & z). Remember, the vector can push out instantaneously to a distant vector point and jump to another vector point (or two or three) in a very different location(s). Data of a similar type will be stored in a vectored path in clusters making data mining much more productive. With our parallel processors, several/many vectors can be run out of one data point in a flat database or a relational database. Once we have clusters of data established, these vectors can leap/tie clusters together that had no known relationship.
This Trinary or Vectored Computing was developed to solve the need for adding 1000s of additional variables for encryption. It wasn’t just adding the variables, but linking all the different communications/data variables (IBM, Cisco, Oracle, Honeywell-Bull, Microsoft, Apple, etc.) as they all use different control characters.
Originally, this concept was developed to take advantage of the physical structure of aluminum, and we have received many comments on using aluminum foil to create 3D Registers to add vectors into existing binary code. Conceptually, many have seen the need for 3D Registers, but how to get there?
Suddenly, we realized that our solution for more encryption variable was a software solution for getting to Trinary or Vectored Computing.

We have a framework that can be added to any programming language to enable true vector processing, storage, retrieval and mining.

See our Press Release at openPR: