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cs.AR2026
Carry-Through Checksum: A Lightweight Fault-Detection for CNN Inference at the Edge
Kyrylo Nazarevych, Mohammad Hasan Ahmadilivani, Krister Kaldre +2
Convolutional Neural Networks (CNNs) are increasingly deployed in safety-critical edge applications, where soft errors can silently corrupt inference outputs and lead to unsafe dec…
cs.AR2024
An Efficient Multicast Addressing Encoding Scheme for Multi-Core Neuromorphic Processors
Zhe Su, Aron Bencsik, Giacomo Indiveri +1
Multi-core neuromorphic processors are becoming increasingly significant due to their energy-efficient local computing and scalable modular architecture, particularly for event-bas…