Convolution Inference via Synchronization of a Coupled CMOS Oscillator Array
Emerging Technologies
2019-10-28 v1 Disordered Systems and Neural Networks
Applied Physics
Abstract
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.
Keywords
Cite
@article{arxiv.1910.11802,
title = {Convolution Inference via Synchronization of a Coupled CMOS Oscillator Array},
author = {D. E. Nikonov and P. Kurahashi and J. S. Ayers and H. -J. Lee and Y. Fan and I. A. Young},
journal= {arXiv preprint arXiv:1910.11802},
year = {2019}
}
Comments
4 pages, 11 figures