For Lilian and the Indigos - Above Top Secret

All the known advantages of a hybrid architecture are here. All the advantages of a fuzzy
system are here. What is unique to the NHP is that it has incredible parallel processing
power due to the shear number of filaments. Mobility and storage density are roughly
10,000 fold greater than that of a silicon chip.
The true innovation to computing is the potential for AI and the elimination of interface
peripherals.
These processors, since they are neuromimetic, are ideal for biomimetic humanoid
robots. Each neural network can subsumptively regulate a specific organ/subsystem.
Visual, haptic, audio, kinematic, biological, power, pneumatic and hydraulic systems can
be matched to the ideal neural network. Custom neural networks can be made by
rearranging the components.
TRANSCOPIC DETERMINISM
In quantum computer theory it is believed we must create quantum error correction
algorithms or filter the noise to get a dependable processor.
This is resistance to chaos. The quantum foam is literally the most chaotic phenomenon.
To resist the quanta chaos is the most futile thing a neuromimetic computer could do. We
overlook the role stochastic noise plays in our own consciousness so we don't consider it
when designing a computer. We measure for the most part according to periodic or
orderly methods. We also don't consider the underlying chaos in our macroscopic
patterns.
The processors I designed utilize two signals, stochastic and periodic. These represent the
chaos of the foam and the periodic functions of the macroscopic brain – alpha, beta, delta,
Schumann resonance... Carrier and modulation functions are reversible depending on the
desired neural network. Sympathetic stochastic resonance is the key to designating
weight to a given path. The resultant beat of these two signals meshing is what brings
order out of chaos. The more reinforced this analog memory becomes, the more weight it
has and the more order it attains. But this type of order is neither pure chaos nor pure
order as are the noise and periodic signals. The periodic signal maintains what is
modulated but the stochastic noise signal is what makes it associative or holographic to
the rest of the suspension.
The NHP doesn't have to "make an end run around the difficulties posed by the laws of
nature" like the myriad of other Silicon Alternatives striving to beat Moore’s Law.
Molecular, Biological, and Quantum computing consortiums, many of which are
sponsored by DARPA, may use biology inspired algorithms but they ultimately fail to
mimic biology. The potential seems to be greater than results and the Silicon Industry
feels safe because of this, but even the neural networks that run on silicon fail to mimic
because, after all, they represent a 2D digital medium.