Researchers from the University of Pennsylvania have come up with an interesting approach to machine learning that could help to address the field's ever-growing power demands: taking the processor out of the picture and working directly on an analog network of resistors. "Standard deep learning algorithms require differentiating large non-linear networks, a process that is
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