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There are important clues from neuroarchitecture that neuroscientists have already discovered which provide insight into how we learn. Identifying these clues and successfully implementing them to enhance machine learning has been my personal effort for many years. The process implemented by BoonLogic for machine learning engages these clues to enable a radically different approach from the more traditional, computationally intense methods widely utilized today. This presentation will describe the simplicity, exceptional performance, and expanded capabilities of our implementation through the Pattern Memory Engine (PME).