I'll clean up, but as it's more philosophy than an academic exercise and use of technical vocabulary, it's not straight forward.Even so, here is some text: Given progress and results in deep learning systems pushed forward with ontology from human produced semantic structures on top of attention and memory guided by an invisible hand out of blue sky thinking. In many ways this is the equivalent...
Would like to point out that most advanced AI runs on "human memory" and attention, and cannot deal with semantics as a reflective process and therefor a dead end. Mostly due to semantics as related to ontology in the dichotomy with epistemology is designed against the goal of achieving coherency and awareness with identity.
Most of the content sent to ARM and AMD along with Intel investor relations. Due to this not being shared from CERN and only Intel using it."Attached is my draft for publication of my summer student at CERN OpenLab in 2012. Where we discovered the problem of transient data in pipe-lining data from memory. To take full use of the AVX instruction set due to data pointers in arrays would be...