A 3D stackable computing-in-memory array that is based on resistive random-access memory could accelerate the implementation of machine learning algorithms.
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Kim, B., Li, H. Monolithic 3D stacking for neural network acceleration. Nat Electron 6, 937–938 (2023). https://doi.org/10.1038/s41928-023-01098-5
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DOI: https://doi.org/10.1038/s41928-023-01098-5
