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5 months ago

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Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks - Nature Communications

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Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks - Nature Communications

Safety-critical sensory applications, like medical diagnosis, demand accurate decisions from limited, noisy data. Bayesian neural networks excel at such tasks, offering predictive uncertainty assessment. However, because of their probabilistic nature, they are computationally intensive. An innovative solution utilizes memristors' inherent probabilistic nature to implement Bayesian neural networks.

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Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks - Nature Communications

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Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks - Nature Communications

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