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Oscillator neural networks (ONN) based on arrays of 26 CMOS ring oscillatorsdesigned and fabricated. ONN are used for inference of dot products with imagefragments and kernels necessary for convolutional neural networks. The inputsare encoded as frequency shifts of oscillators using current DACs. Degree ofmatch (DOM) is determined from oscillators synchronization. Measurementsdemonstrate high correlation of DOM and dot products. Inference requires thetime of 8ns and energy of 55pJ.

A Coupled CMOS Oscillator Array for 8ns and 55pJ Inference in Convolutional Neural Networks