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As neural networks grow in size, deploying them on-device increasingly requires special-purpose hardware that parallelizes common operations. But for maximum efficiency, it’s not enough to optimize...
As machine-learning-based decision systems improve rapidly, we are discovering that it is no longer enough for them to perform well on their own. They should also...
Generative adversarial networks (GANs) can produce remarkably realistic synthetic images. During training, a GAN pits a generator, which produces the image, against a discriminator, which tries...