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作为曾在苹果嵌入式AI研发中扮演关键角色的人物，庞若鸣参与领导的基础模型团队，是AppleIntelligence尝试在端侧实现隐私与性能平衡的重要技术力量。这种端侧架构曾被视为苹果在AI博弈中的差异化优势。，推荐阅读谷歌浏览器【最新下载地址】获取更多信息
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Instead of perturbing each pixel in the input image at random, we can choose to dither by a predetermined amount depending on the pixel’s position in the image. This can be achieved using a threshold map; a small, fixed-size matrix where each entry tells us the amount by which to perturb the input value , producing the dithered value . This matrix is tiled across the input image and sampled for every pixel during the dithering process. The following describes a dithering function for a 4×4 matrix given the pixel raster coordinates :
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