Memristor-based Bayesian neural network
Researchers from CEA-Leti, CEA-List, and CNRS built a complete memristor-based Bayesian neural network implementation for classifying types of arrhythmia recordings with precise aleatoric and epistemic uncertainty.
While Bayesian neural networks are useful for at sensory processing applications based on a small amount of noisy input data because they ...
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