Designing surfaces that precisely control how light behaves at the nanoscale is tricky. Optical Fourier surfaces, which are ...
When people think about military innovation, they usually imagine technologies that dominated the battlefield and secured ...
Abstract: Convolutional neural networks (CNNs) are predominantly used for several challenging computer vision tasks achieving state-of-the-art performance. However, CNNs are complex models that ...
Abstract: We demonstrate how to use generative adversarial networks to improve the small data problem when training brain-computer-interfaces. The new approach is based on finely graded frequency ...
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