Abstract: This study investigates StyleGAN's potential to generate digital camera images of paper fibers (Kozo, Mitsumata, and Gampi) for augmenting deep convolutional neural network (DCNN) training ...
Dataflow execution on GPUs; templatized chip design; scanning acoustic microscopy for packaging; data-centric ML compiler for PIM; QPUs with slow interconnects; smartphone EM side channel attacks; ...
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