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Zhou Mashuq have shown that you can learn the structure of documents and recognize them even with different templates. It does this by grouping content into labels. See diffbot.com for a commercial example of this. While this recognizes the labels you still need to select the labels that interest you. This could be done by training a classifier, perhaps ...


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something which would be unbearably slow to calculate in PHP but goes super fast with the ai-blackbox.exe I think you are massively overestimating the state-of-the-art of AI. Any AI blackbox is implemented in some programming language. PHP is not the fastest language, but its slowness is likely to be a constant factor in any computation. So the difference ...


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It depends what to use on what you are doing. I divide this problem in two categories. 1.Site without changing structure Suppose, you are building a app which takes data from your national weather department site and normally which has same structure throughout decade. Here using AI for finding data is stupid thing. You should use conventional parsing ...


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To treat it as a search problem, you should have a decision tree in mind. In your example, the each node's degree would be the total combination of possible movements for each car (except for the combination in which all cars stay put). Then, each edge of the decision tree would represent a transition from one timestep to the next and each node would ...


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