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Supplementary data from a study on reconfigurable nonlinear-processing units (RNPUs) with capacitive control. The dataset likely contains simulation results demonstrating a tenfold reduction in power consumption and classification accuracies of 95.9% ± 0.2% for MNIST and 86.7% ± 0.2% for FashionMNIST. The data was authored by R. J. C. Cool and last updated on 2026-05-26.
Data is provided in a DOCX format, which may require extraction or conversion for programmatic analysis.