Self-rectifying memristors with high rectification ratio for attack-resilient autonomous driving systems
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Researchers have developed self-rectifying memristors with a high rectification ratio, which may enhance the resilience of autonomous driving systems to attacks. These memristors are being explored for use in neuromorphic computing applications, potentially in synaptic crossbar arrays. The technology also involves programmable ferroelectric rectifiers, which could contribute to more reliable and efficient neuromorphic crossbar arrays.