Abstract: Convolutional Neural Networks (CNNs) have seen widespread adoption in various domains, including speech recognition, image classification, and segmentation. However, their computational ...
Growing use cases include life science AI, reducing memory and I/O bottlenecks, data prepping, wireless networking, and as ...
Abstract: In this paper, we design an energy-efficient true random number generator with ultra-high throughput for FPGA. Only four ring oscillators constructed using eight LUTs are sampled by multiple ...
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