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Neural Networks are adaptable, impressive, and sometimes extremely competitive in accuracy.  They are criticized largely for becoming uninterpretable black bins, but their chief weak point is that backpropagation will make them From innovators introducing breakthrough systems to ethicists and policymakers framing the dialogue about accountable AI… Read More

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