تقرير
Convolution Inference via Synchronization of a Coupled CMOS Oscillator Array
| العنوان: | Convolution Inference via Synchronization of a Coupled CMOS Oscillator Array |
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| المؤلفون: | Nikonov, D. E., Kurahashi, P., Ayers, J. S., Lee, H. -J., Fan, Y., Young, I. A. |
| سنة النشر: | 2019 |
| المجموعة: | Computer Science Condensed Matter Physics (Other) |
| مصطلحات موضوعية: | Computer Science - Emerging Technologies, Condensed Matter - Disordered Systems and Neural Networks, Physics - Applied Physics |
| الوصف: | Oscillator neural networks (ONN) are a promising hardware option for artificial intelligence. With an abundance of theoretical treatments of ONNs, few experimental implementations exist to date. In contrast to prior publications of only building block functionality, we report a practical experimental demonstration of neural computing using an ONN. The arrays contain 26 CMOS ring oscillators in the GHz range of frequencies tuned by image data and filters. Synchronization of oscillators results in an analog output voltage approximating convolution neural network operation. Comment: 4 pages, 11 figures |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/1910.11802 |
| رقم الأكسشن: | edsarx.1910.11802 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |