2 papers
cond-mat.mtrl-sci2026
PdNeuRAM: forming-free, multi-bit Pd/HfO2 ReRAM for energy-efficient neuromorphic computing
Erbing Hua, Theofilos Spyrou, Majid Ahmadi +11
Memristor technology shows great promise for energy-efficient computing, yet it grapples with challenges like resistance drift and inherent variability. For filamentary Resistive R…
cs.NE2024
SpikeFI: A Fault Injection Framework for Spiking Neural Networks
Theofilos Spyrou, Said Hamdioui, Haralampos-G. Stratigopoulos
Neuromorphic computing and spiking neural networks (SNNs) are gaining traction across various artificial intelligence (AI) tasks thanks to their potential for efficient energy usag…