ROA brick topology supplies PVT-robust 2.31 GHz SHIL that preserves 93-97% accuracy in 324-node OIM max-cut while ROSC-SHIL loses locking.
SNN Event-camera Dichotomy and Perspectives For Event-Graph Neural Networks
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FPGA hardware for event-graph NN achieves 92.7% accuracy on SHD dataset with fewer parameters than SOTA while outperforming prior FPGA SNNs.
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Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA
FPGA hardware for event-graph NN achieves 92.7% accuracy on SHD dataset with fewer parameters than SOTA while outperforming prior FPGA SNNs.