其次，今天的算法非常擅长模式识别，如果可以提供大数据集的话 — — 如在YouTube视频中找到目标或识别信用卡诈骗 — — 但它们如果遇到与常规模式不符的非常规环境，或者仅仅因为数据稀缺或有点“噪音 ” ， 效率就会大大降低。
Second, today’s algorithms are becoming very good at pattern recognition when they are provided with large data sets – finding objects in YouTube videos or detecting credit card fraud – but they are much less effective with unusual circumstances that do not fit the usual pattern, or simply when the data are scarce or a bit “noisy.”