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Abstract: This paper presents a novel neuromemristive architecture for pattern classification based on extreme learning machines (ELMs). Specifically, we propose CMOS current-mode neuron circuits, ...
Abstract: Inference at-the-edge using embedded machine learning models is associated with challenging trade-offs between resource metrics, such as energy and memory footprint, and the performance ...
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