Abstract: This paper describes an in-memory computing architecture that combines full-precision computation for the first and last layers of a neural network while employing binary weights and input ...
Abstract: A highly efficient nanoelectromechanical memory switch-based binary neural network (NEM BNN) is proposed for the first time. Utilizing the electromechanical movement of a cantilever beam, ...
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