About Us
Who Is Signal Edge?
Mission
An Artificial Intelligence (AI) mirrored off of human intelligence. An AI that can make complex decisions and is energy-efficient, low-cost, and adaptable. An AI that maximizes human/computer capability together ushering in new age of AI business practices and products.
Dialogues on Natural Intelligence
Related to recent dialogues with Sana Zuri. You both made a few leaps here and there, but it is to be expected. You see the breadcrumbs and are beginning to ask the right questions. To answer some of those questions, you must conquer the basic physics of the Unity which leads to duality’s algorithm where the subconscious (bottom-up) and conscious (top-down) processes function together to produce and consume intelligence.
We use terms like “time is relative”. We say the words, but do we really understand the meaning. Time is nothing more than the measurement cycle of the observer and the length of that cycle creates time relativity. In the brain there are different processes and therefore different observers. These different processes experience time at different rates. A sensory system such as the eyes cycles measurement around 33 milliseconds, the conscious process of the frontal lobe cycles at 300 milliseconds, and the subconscious process of the thalamus cycles at 5 milliseconds. Three different observers experiencing time differently.
To bridge observers, the thalamus which is the fastest of the processes maintains a synchronous state and entangles the different components of the brain’ physical process. The entanglements form a synchronous cohesion between the brain components allowing them to share the same state and execute in the same measurement cycle. The thalamus uses the shared state to control the firing sequence of the brain’s linear subconscious process. Sharing state also allows the brain to cheat on the amount of sensory data that must be exchanged between components. Only unpredictable motion is transferred through the synchronous state because predictable motion already exists in the shared framework. The brain’s synchronous subconscious process is entirely based on energy conservation where prediction regulates energy usage.
So, the eyes every 33 milliseconds dump their sensory data into the thalamus. The thalamus is going to perform a motion measurement to identify the unpredictable motion in the sensory data. Here is the trick. The thalamus conducts it measurement based on the original observation time of the sensory system (33 ms), not its own process time (5 ms). This creates a data payload of synchronous motion that preserves the original sensory observation. Basically, a frozen moment in time (Flat 4D). The single moment in time can then be processed through the single state maintained by the synchronous process. Other processes such as consciousness (300 ms) can interface with the synchronous state to generate awareness of that moment.
Now, synchronous data traveling through a separate faster synchronous process creates a theoretical time tunnel where observation time is tunneled through the synchronous process and is reproduced on the other side in the original time-relativity. The synchronous process eliminates time dilation by simply removing itself out of the equation so that its own process time does not alter the experience. To the original observer, the measurement appears to be instantaneous, but in the thalamus, a linear subconscious process generating sensory perception and thought production is being executed. It is all just occurring in the time available because other observation times are slower than thalamic measurement time. For life to exist in the physical universe requires a linear measurement process, it just hides itself by operating at a faster time relativity. What’s interesting is time dilation is not the problem, it’s the solution. Einstein said there was no universal time.
You will have to forgive our oversimplification and omissions concerning the answer, it is a large subject that has many heads with physics just being one of them. Our specialty is computer process and communications theory. We came across the algorithm several years ago trying to solve the problem of IoT sensory data overloading the network. We call the process “Neural Synchronization” and have clocked our systems reducing computer sensory data on the network by 99.995%. All life down to single cells measure and communicate sensory data using some form of this energy conservation technique. Its prediction-based architecture is the bedrock to understanding what comes next and where the journey to duality and the process of Natural Intelligence begins.