The original idea of AI was to take a logical hierarchical approach. First, find the sign, then reason about its shape, color and, if possible, read the text. That’s more or less what people do. That didn’t work, so AI got turned into a statistical matching grab bag with no internal semantics. It was just matrix math and limited by the training set and structure of the mathematics. A better approach would be to use a hybrid approach with machine learning supporting the hierarchy. This is what most animals do internally, and it provides more robust solutions. We’ll probably have to wait for the next AI winter, and we’ll see this in the next AI spring.
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