A White Paper: The OGI Cognitive Architecture Project
نویسنده
چکیده
There is a large class of problems that are at best poorly solved. These problems involve the transformation of data across the boundary between the real world and the digital world. And they occur whenever a computer is sampling and/or acting on real world data. Examples of these “boundary transformation” problems include the computer recognition of human speech, computer vision, textual and image content recognition, robot control, Optical Character Recognition (OCR), Automatic Target Recognition, etc. These are difficult problems to solve on a computer, since they require the computer to find complex structures and relationships in massive quantities of low precision, ambiguous, noisy data.
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