Resonance Model Zoo

Research Purposes:

The structure of this system is essentially being excavated from the depths of computation itself.
Resonance, vibrational, and deterministic computational pragmatic utilization meant to dynamically access information across many gradients of systems, is a fairly hardcoded and untapped realm of potential in many spectrums on many walks of life.
I am creating an architecture based entirely on the resonant responses of frequencies and their deterministic mathematical utilization with AI in the modern era.

The concept was originally manifested by Nikola Tesla and has seen multiple papers since then from multiple experts, and yet this realm has been left relatively untapped.

This architecture will be primarily bypassing or completely removing standard samplers, schedulers, and even optimizers for many of these tasks, as the models and creations are designed and implemented.

Simply put, these are primarily designed to be self learning with minimal structure applied. They create themselves, they resonate with themselves, they stay hard locked into a form unless dicated by the maker, and their math is based on the concept of resonance through multi-carrier infinites.

This is not quantum, this is not non-determinism. This is a predictable and rational system that is meant to build schedulers to replace schedulers, optimizers to perfect optimizers with the hardware you're on, and systems to conform to the very nature of the elements they encapsulate - all while rapidly learning and inferencing at lignting fast rates.

Now, if I solve the problems of self destructive machines through internal resonant reinforcement, these can be left on indefinitely and will never shatter.