Report
Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture
| العنوان: | Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture |
|---|---|
| المؤلفون: | Velasquez, Alvaro, Bennett, Christopher H., Hassan, Naimul, Brigner, Wesley H., Akinola, Otitoaleke G., Incorvia, Jean Anne C., Marinella, Matthew J., Friedman, Joseph S. |
| سنة النشر: | 2020 |
| المجموعة: | Computer Science Physics (Other) |
| مصطلحات موضوعية: | Computer Science - Neural and Evolutionary Computing, Computer Science - Emerging Technologies, Physics - Applied Physics |
| الوصف: | 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. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2003.11120 |
| رقم الانضمام: | edsarx.2003.11120 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |