  Oscillator neural networks (ONN) based on arrays of 26 CMOS ring oscillators
designed and fabricated. ONN are used for inference of dot products with image
fragments and kernels necessary for convolutional neural networks. The inputs
are encoded as frequency shifts of oscillators using current DACs. Degree of
match (DOM) is determined from oscillators synchronization. Measurements
demonstrate high correlation of DOM and dot products. Inference requires the
time of 8ns and energy of 55pJ.
