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This position paper advocates a communications-inspired approach to the design of machine learning systems on energy-constrained embedded 'always-on' platforms. The communications-inspired approach has two versions - 1) a deterministic version where existing low-power communication IC design methods are repurposed, and 2) a stochastic version referred to as Shannon-inspired statistical information processing employing information-based metrics, statistical error compensation (SEC), andarXiv:1611.03109v1 fatcat:qdnks33xmzcrdkez43z2kicxeq