Neuromorphic Emulation

      The current means of computer vision 
      requires massive data centers,
    
 
      Filled with thousands of GPUs requiring billions of gallons of water to 
      cool, and billions of watts to power, straining the power grid and water 
      pressure of the surrounding arias around these massive data centers. 
      This technology need none of the above. 
    
    Capable of running natively on something 
    as little as edge, or handheld IoT devices,
  
    Not requiring even a single dedicated GPU to learn and recognize objects 
    faster than humans, while drastically out preforming current means of 
    computer vision.
    
    No labels. No training data. Just a single executable; A script that teaches 
    itself to see entirely on its own, learning to interpret and understand images 
    faster than humans, just as well as humans.
  
    Requiring virtually no power or cooling 
    and costs nothing to build or operate,
  
    This software stands as the most cost-effective, highest-performing, 
    and environmentally friendly solution possible. Its minimal resource 
    footprint not only reduces operational overhead but also aligns with 
    global sustainability goals. 


    With zero emissions, no hardware dependencies, and 
    unmatched scalability, this system offers a future-proof 
    solution for organizations seeking performance without 
    compromise - on budget, efficiency, or the planet.
  
    Whether you're a startup looking for sustainable solutions,
    or an enterprise modernizing legacy systems, this solution
    delivers consistent, top-notch performance, combined 
    with high sustainability at scale.


    This is more than just a software solution, 
     it’s a catalyst for change.
  
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Pat.  S/N - 63/674,942
Initializing Emulator
Version:      1.37.α
Revision:     43.6y
Loading save file
Orientation-cell concatenation
Mem-network partitions
Dynamic cell-networks
Static cell-networks
Rasterizing receptive fields
Temporal frequency
Spatial-temporal integration
Image sensor to Poisson disk
Compiling shaders…
↳ Varying variable interpolation
↳ Geometry Shader
↳ Fragment shader
↳ Action potential emissive
Loading LOD engine…
Finalizing…
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Cogito, ergo simulor. Cogito, ergo simulor.
Cogito, ergo simulor. Cogito, ergo simulor.