This algorithm attempts to minimise numerically. Because of this, the quality of the dither produced by Knoll’s algorithm is much higher than any other of the N-candidate methods we have covered so far. It is also the slowest however, as it requires a greater per-pixel to be really effective. More details are given in Knoll’s now expired patent[3]. I have put together a GPU implementation of Knoll’s algorithm on Shadertoy here.
从目前芯片厂商的产能分配来看，资源向AI 相关业务倾斜已成必然。三星、SK 海力士、美光等三大存储芯片巨头，2025 年用于数据中心级存储芯片的产能占比已提升至 40% 以上，较 2023 年增长了 15-20 个百分点。在台积电、三星晶圆代工业务中，为 AI 芯片（如 GPU、ASIC）预留的产能也在持续增加，这挤压了消费级芯片的生产空间。
，这一点在51吃瓜中也有详细论述
免去王祥喜的应急管理部部长职务。
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另一边，AI 浪潮愈演愈烈，各种形态新奇的 AI 硬件试图上位，但至今也没有哪个设备能证明自己能替代手机，成为下一个版本的标准答案。