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Field Array QuasiArtifactual Analysis: Difference between revisions

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{{headerFieldArray}}
{{headerFieldArray}}


When trained upon a well made [[Field Array]], the Perceptorium of the {{quasiAI|byline=}} will visually represent, while connected and trained to the datastream outputs of an operating [[Field Array]], the texture and dynamic behavior, in near real time. of the atomic matter lattice of the metamaterial within the array.   
When trained upon a well made [[Field Array]], the Perceptorium of the {{quasiAI|byline=}} will visually represent, while connected and trained to the datastream outputs of an operating [[Field Array]], the texture and dynamic behavior, in near real time, of the atomic matter lattice of the metamaterial within the array.   


That goal requires a fast state machine.  FPGA engineers unite.
That goal requires a fast state machine.  FPGA engineers unite.


<center>The {{quasiAI|byline=plow share made my life so much easier developing UAP temporal technology!  (a satisfied early adopter in the future)}}</center>
=== <center>The {{quasiAI|byline=plow share made my life so much easier developing UAP temporal technology!  (a satisfied early adopter in the future)}}</center>===


<center>Stay tuned</center>
<center>Stay tuned</center>

Revision as of 09:54, 3 August 2023


When trained upon a well made Field Array, the Perceptorium of the quasiArtifactualIntelligence will visually represent, while connected and trained to the datastream outputs of an operating Field Array, the texture and dynamic behavior, in near real time, of the atomic matter lattice of the metamaterial within the array.

That goal requires a fast state machine. FPGA engineers unite.

The quasiArtifactualIntelligence plow share made my life so much easier developing UAP temporal technology! (a satisfied early adopter in the future)

Stay tuned