(C)1995 Lee Kent Hempfling All Rights Reserved [ah-kumz ray-zer] a: A logic theorem: "The simplest solution to a problem is the best solution." b: Less is more. What is the simplest. Is it the easiest to acquire? Or is it the most effective least denominator? We can assume we know what a problem is. We can assume we know what a solution is. But can we assume we know what the simplest is? We can not. The word simplest and the concept corresponding to its understanding and perception will determine the acceptability of the solution. An Example: The replication of biological vision processes. In one respect the definition of simplest would be "the most applicable with the least effort." In this case we have designs of systems that recognize lines. As lines can be drawn from one logical point of a face to another and with more lines the more the clarity and recognizability of a face. But is this the other definition of simplest? In the other respect the definition of simplest would be "the least complex smallest denominator." In this case the Neutronics Technologies approach to vision duplication is the ONLY process in existence that approaches the solution from the smallest and least complex denominator perspective. Breaking the vision process down to individual parts of the object viewed the lines are no longer visible (as they would not be following rendering of the 3d depiction.) Bypassing the rendering process and eliminating the middle approach to visual duplication permits the processing of individual data populations each representing one input receptor's motivational value. By applying Occam's Razor to the attempt to duplicate ALL motor and mental processes of a biological entity NTC will first produce ENTICY1: A processor of quantum computational protocol that approaches input of vision, hearing and motor function from the least complex smallest denominator position and applies it to the output of speech and motor movement in the same fashion. How does this apply in relation to Neural Network computation? By understanding the plasticity of the brain. The plasticity of the brain as used in NN technology is applied to the hardware. When in reality the brain applies it in two ways. One to the hardware (but only when it needs repairing and when it expands memory allocation) and to the values processed which by the very nature of the procedure change from one computational level to the next and therefore are plastic. In a hardware analog environment (such as the Enticy 1, the X1 Prototype and the subsequent Enticy2 and Enticy 3 models) there is no need for the hardware approach to plasticity as the design determines the memory allocation and the design determines the circuit methodology. So the value plasticity is applied and through a fantastic array of computational levels, speeds and distribution, shares processing neuronal connections for efficiency and dedicates memory neuronal processes for retrieval. ENTICY 2 will be a second generation device identicle to Enticy 1 with the addition of highly refined motor functions in arm and hand configurations and will result in replacement limbs and muscle control therapies. It will increase the processing and inputs of vision and feedback sensors (temperature, pressure, balance and the like) and act as a test bed for smell and taste processing. ENTICY 3 will combine all of this with the self upright motor ability of legs and the self regulated balance of learned relational muscle movements. It's vision will be near human, it's speech will be near human and it's inputs of smell, taste, pressure, temperature and hearing will be duplicates of human level. Enticy 3 will walk, talk and converse with it's observers. Through the application of a specially designed joint and the tandem functioning muscle replicators the device will move as fluidly as the human with just as much control and will display a remarkable simularity to the C3PO model of Star Wars fame without the external hydraulics and with much better motion ability. From vision research will come products designed by the firm to apply the technology to all aspects of visual input products. From NTC 'real' vision cameras to vehicle collision avoidance and safety systems products. From hearing research will come products by the firm for recording, playback of sound in TRUE three dimensions and hearing aid technology for insertion and implant. By applying the correct definition to a logic interpretation the world will change.
