Check out our latest work, led by Sandia National Laboratories, Christopher H. Bennett and Sam Liu in the INC Lab. We show in simulation that combining a tunable stochastic magnetic tunnel junction with the domain wall-magnetic tunnel junction device creates a very efficient bit cell for Bayesian neural networks, which can do classification tasks with well-calibrated uncertainty estimates.
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