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One by-product of weighing the candidates by their distance is that the resulting output image is prone to false contours or banding. Increasing reduces this effect at the cost of added granularity or high frequency noise due to the introduction of ever more distant colours to the set. I recommend taking a look at the original paper if you’re interested in learning a bit more about the algorithm[1].
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A single data center can be 40% to 50% larger than an average Walmart Supercenter and require up to 1,500 workers during peak construction. And as companies race to build ever more powerful AI models, those facilities are getting bigger still. Meta’s Hyperion AI data center project, for example, is expected to reach four times the size of Central Park.，更多细节参见heLLoword翻译官方下载