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Artificial intelligence, and machine learning in particular, is reshaping the way the world works, opening up countless opportunities in industry and commerce, but the optimum hardware architecture to support neural network evolution, diversity, training and inferencing is not determined. Alok Sanghavi surveys the landscape and makes the case for embedded FPGAs.