引领时代、塑造世界是理论创新的强大力量
“去年,投资人更倾向通用的具身智能叙事,比如偏好‘既能搬箱子、又能收拾桌子、还能叠衣服’的机器人。但现在则更看重能不能先扎进垂类场景,并且让客户愿意复购。这关系到商业化能力,也关系到能不能用数据飞轮突破真机数据不足的瓶颈。”刘年丰对《智能涌现》介绍。
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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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