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    Imagine a world in which brilliant machines “understand” what’s around them – and communicate that understanding to other brilliant machines, making each of them collectively smarter. Today’s technology innovations are driving the object classification algorithms of tomorrow’s brilliant machines. This paper illustrates how the edge nodes of the network can interact with a variety of real world sensors then apply the “collective learning”, such that the experience of an individual machine contributes to the learning of the whole.

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