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From the first paper in the session you will learn how to use SRAM arrays to create binary neural networks; the second paper shows how floating-gate memory arrays can be used to accelerate analog-style vector-matrix multiplication for machine learning; the third paper focuses on how to reduce the impact of cross-coupling in TSV-based 3DICs using coding techniques; finally, the fourth paper in the session shows how turning a 3D stack on the side to create a "loaf-of-bread" structure (unlike the more common "pancake" structure) can be used in rad-hard space applications.
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