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Found 5 papers, 0 papers with code
Neuromorphic Split Computing with Wake-Up Radios: Architecture and Design via Digital Twinning
This work proposes a novel architecture that integrates a wake-up radio mechanism within a split computing system consisting of remote, wirelessly connected, NPUs.
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks
Spiking neural networks (SNNs) are recurrent models that can leverage sparsity in input time series to efficiently carry out tasks such as classification.
SpikeCP: Delay-Adaptive Reliable Spiking Neural Networks via Conformal Prediction
Spiking neural networks (SNNs) process time-series data via internal event-driven neural dynamics whose energy consumption depends on the number of spikes exchanged between neurons over the course of the input presentation.
Neuromorphic Integrated Sensing and Communications
Neuromorphic computing is an emerging technology that support event-driven data processing for applications requiring efficient online inference and/or control.
Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference
In order to enable adaptation of the receiver to the fading channel conditions, we introduce a hypernetwork to control the weights of the decoding SNN using pilots.
