Our study of the mechanics of the human brain is bearing fruit! We have succeeded in developing an algorithm that makes digital information meaningful in its own right, regardless of the applications that use it or the structures required to express it.
The algorithm evolves a structure as new information is added. It is based on simple, autonomous units that capture the thoughts and concepts behind the data. These units also represent the complex interdependencies between them. There is no longer any need for predefined tables or hierarchies.
Our new algorithm
has the representational power to consolidate any combination of existing
structures into one data repository. For the first time every application
can share the same pool of data, bringing the vision of truly autonomic
systems one step closer to reality.
