CEREBRA is a threaded, distributed AI application written in stackless python and NVIDIA's CUDA language. As such it requires a modern NVIDIA GPU, or connection to a server with this hardware.

The novel methodology is essentially Bayesian/quantum, as it exploits the uncertain and therefore probabilistic properties of the Fourier-related transforms. Our technique is to take advantage of a technique called "spectral tagging" attaching a numerical, adjective-centric attribute set to a series of instance types whose number is a homomorphism in 2 dimensions. CEREBRA represents the numerical implementation of new research extending Bayesian statistical logic to general quantum systems (and, therefore, quantum computers), utilizing the DFT to make grammatical element conversions, yielding a numeric vocabulary allowing intelligent pointer indexing. The CEREBRA engine may also simulate future states of the current objective system. .

Don't worry if that's not enough. More's coming...this is just an outline =).