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Author

G. Rajashekhar

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Aug 2026

A Dynamic Stochastic Computing-Based Approach to Edge Inference for Convolutional Neural Networks

A comparative analysis of dynamic stochastic computing using a convolutional neural network for MNIST digit classification indicates that dynamic stochastic computing can serve as an efficient alternative for the design and implementation of neural-network accelerators.

G. Rajashekhar, P. Muralidhar · 0 citations