自旋电子聚类结构的无监督竞争硬件学习规则
Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture
摘要：
我们提出了一个新的自旋电子计算架构内的无监督聚类的硬件学习规则。所提出的方法利用畴壁磁隧道结器件的三端结构来建立反馈回路，该反馈回路用于当这些器件用作类脑计算架构中的突触时对它们进行训练。
英文摘要：
We propose a hardware learning rule for unsupervised clustering within a novel spintronic computing architecture. The proposed approach leverages the three-terminal structure of domain-wall magnetic tunnel junction devices to establish a feedback loop that serves to train such devices when they are used as synapses in a neuromorphic computing architecture.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
