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This project was from my previous research on intent. I realized that a lot of cognitive states require very complicated clinical rigs to even get hence majorly impractical and its too slow cause of a lot of restrictions imposed on the industry let alone the effort needed and still the possibility the brain doesn't give you the needed states and it falsifies that deep in. Another reason is that a lot of this data is not directly usable by machines hence needing lossy translation. So I turned the wetware problem into a math problem and that is what im working to solve.
Engineering cognitive states that are directly usable in robotics/ai, and brain computer interfaces. States that are otherwise very expensive and impractical to engineer via the clinical route and too slow given laws and the effort needed.
I have a fleshed out plan spanning from the first important cognitive-like states to a full system capable for dynamic use in machine systems spanning multiple modalities(audio, video, text), adding invasive neural datasets and multiple different ai foundation models. And the work has already started.
Parallel CPU cloud compute = $200 ( at $1 per hour that is enough to push the next few stages)
Symbolic math license. Current license expired. = $250 for the next month(purpose is closing out the proofs and engineering the solution)
Storage + artifacts = $50 (neural datasets and software cloud storage subscription)
I am doing this solo.
Other projects I have worked on:
Intent Metrology - work on measuring pre-report states
Neural-edsl Compiler - this was an attempt at writing mathematical proofs using brain signals.
The math considering how rigorous it can be. What id lose is time/effort and the claim of a finished product.
No external funding. Was jump started from my personal funds.