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The increasing demand for high performance and energy efficiency in Artificial Neural Networks (ANNs) accelerators has driven a wide range of application-specific integrated circuits (ASICs). Besides, the rapid deployment of low-power IoT devices requires highly efficient computing, which as a result urges the need to explore low-power hardware implementations in different domains. This paper proposes a spatially unrolled time-domain accelerator that uses an ultra-low-power digital-to-time conve