Human Neocortex Inspired Intelligent Database

Physical Optics Corporation (POC) proposes to develop a novel human Neocortex Inspired Intelligent Database (NIID). The NIID consists of multilevel cortex neural models, database enhancements, database essentials, application programming interfaces, and open database connectivity. The NIID will support new advanced data analysis, entity relationship association, and associative search capabilities to enhance data mining and business intelligence. The unique capabilities will be implemented by developing novel neurons with new learning rate functions and activation functions, building neuron connections, and adjusting connection weights; using Hebbian learning, unsupervised learning, and supervised learning, and combinations of cortex models; and designing the architecture, models and components of the NIID. The proposed intelligent database will be suitable for both current and future database applications. In Phase I POC will design and develop this database with unique capabilities and demonstrate the feasibility of the NIID through simulation and performance assessment. In Phase II we will refine and mature the Phase I prototype, evaluate it by simulation and experiment, and conduct a proof of concept. We will improve the NIID prototype software into pre-release commercial software as a next generation database in Phase III and beyond.