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The iPad's Handwriting Recognition Tech Shows How Apple Does Machine Learning

机译:iPad的手写识别技术展示了Apple如何学习

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THE MORE INTUITIVE A TASK IS FOR humans, generally, the harder it is for artificial intelligence. Think of when Alexa can't hear your commands, or when your spam filter traps an important email. A computer's ability to read handwriting, then translate it into letters and numbers it can understand, has been a challenge going back decades. Think of the hit-or-miss capabilities of the Windows Transcriber in the early 2000s, or the PalmPilot in the late '90s. Handwriting is so nuanced that just analyzing a static letter's shape doesn't work.
机译:对于人类而言,任务越直观,人工智能越难。 想想alexa无法听到你的命令,或者垃圾邮件过滤器陷阱是一个重要的电子邮件。 计算机阅读手写的能力,然后将其转换为它可以理解的字母和数字,这是一项挑战,几十年来。 想想在2000年代初的Windows折断的命中或错过能力,或者在90年代后期的PalmPilot。 手写是如此差别,只是分析静态信的形状不起作用。

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