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Convolution Inference via Synchronization of a Coupled CMOS Oscillator Array

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arxiv 1910.11802 v1 pith:4ASGNY2Z submitted 2019-10-25 cs.ET cond-mat.dis-nnphysics.app-ph

classification cs.ETcond-mat.dis-nnphysics.app-ph
keywords neuralcmosconvolutionexperimentaloscillatoroscillatorssynchronizationabundance
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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