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Meta 已经极其直白地交出了底牌：不再把几千亿美元的 AI 身家性命，全部押在黄仁勋的一个篮子里。当谷歌的 TPU 不再只是实验室里的屠龙刀，当 AMD 拿到了 600 亿的输血，AI 芯片赛道的真正血战，才刚刚拉开序幕。（本文首发钛媒体App , 作者｜硅谷Tech news，编辑｜秦聪慧），这一点在爱思助手下载最新版本中也有详细论述
The N-closest or N-best dithering algorithm is a straightforward solution to the N-candidate problem. As the name suggests, the set of candidates is given by the closest palette colours to the input pixel. To determine their weights, we simply take the inverse of the distance to the input pixel. This is essentially the inverse distance weighting (IDW) method for multivariate interpolation, also known as Shepard’s method. The following pseudocode sketches out a possible implementation: