Abstract: This study presents a method based on energy distribution patterns to generate kernel filters of various sizes for image convolution, aimed at improving the accuracy and similarity of ...
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Photonic AI chip targets faster convolutions with far less energy
Engineers at the University of Florida have built a photonic chip that performs convolutions, the most compute-heavy operation in modern AI, using light instead of electricity and delivering roughly ...
AI is everywhere, and many businesses want to show they’re not being left behind. From tech giants like Zalando to smaller brands and startups, companies increasingly rely on AI to produce content.
The previous deep CNN-based single-image dehazing methods are devoted to improving the performance by increasing the network’s depth and width. In this paper, a novel Large Kernel Convolution Dehaze ...
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