CEA-Leti Paper in Nature Communications Reports First Complete Memristor-Based Bayesian Neural Network Implementation For Real-World TaskBreakthrough Classifies Types of Arrhythmia Recordings With Precise Aleatoric and Epistemic Uncertainty - A team comprising CEA-Leti, CEA-List and two CNRS laboratories has published a new paper in Nature Communications presenting the first complete memristor-based Bayesian neural network implementation for a real-world task-classifying types of arrhythmia recordings with precise aleatoric and epistemic uncertainty.
