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Super-Intelligence Challenges And Lossless Visual Representation Of High-Dimensional Data, Boris Kovalerchuk
Super-Intelligence Challenges And Lossless Visual Representation Of High-Dimensional Data, Boris Kovalerchuk
All Faculty Scholarship for the College of the Sciences
Fundamental challenges and goals of the cognitive algorithms are moving super-intelligent machines and super-intelligent humans from dreams to reality. This paper is devoted to a technical way to reach some specific aspects of super-intelligence that are beyond the current human cognitive abilities. Specifically the proposed technique is to overcome inabilities to analyze a large amount of abstract numeric high-dimensional data and finding complex patterns in these data with a naked eye. Discovering patterns in multidimensional data using visual means is a long-standing problem in multiple fields and Data Science and Modeling in general. The major challenge is that we cannot …