Converting High-Performance and Low-Latency SNNs Through Explicit Modeling of Residual Error in ANNs
Abstract: Spiking neural networks (SNNs) have garnered interest due to their energy efficiency and superior effectiveness on neuromorphic chips compared with traditional artificial neural networks ...
Abstract: The increasing interest in Digital Twins (DT) for road infrastructure stems from their ability to seamlessly integrate data from various sources and facilitate interactions between physical ...
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