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Entropy-Based Modeling for Estimating Soft Errors Impact on Binarized Neural Network Inference
Over past years, the easy accessibility to the large scale datasets has significantly shifted the paradigm for developing highly accurate prediction models that are driven from Neural Network (NN).
A Survey on Impact of Transient Faults on BNN Inference Accelerators
Over past years, the philosophy for designing the artificial intelligence algorithms has significantly shifted towards automatically extracting the composable systems from massive data volumes.
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