most citedScale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale

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cs.ET2024

NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI

Soyed Tuhin Ahmed, Kamal Danouchi, Guillaume Prenat +2

Internet of Things (IoT) and smart wearable devices for personalized healthcare will require storing and computing ever-increasing amounts of data. The key requirements for these d…

cs.ET2024

Testing Spintronics Implemented Monte Carlo Dropout-Based Bayesian Neural Networks

Soyed Tuhin Ahmed, Michael Hefenbrock, Guillaume Prenat +2

Bayesian Neural Networks (BayNNs) can inherently estimate predictive uncertainty, facilitating informed decision-making. Dropout-based BayNNs are increasingly implemented in spintr…