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© Courtesy Apple We asked Apple’s Craig Federighi how they taught the iPad to read anyone’s scrawl.
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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.
Apple, it seems, found a solution. In the newest update to iPadOS, when you write with the Apple Pencil ($129), the iPad can understand your scrawl and, with Scribble, convert it to typed text. It works like most machine learning—examples inform rules that help predict and interpret a totally new request—but taps into a smarter data set and greater computing power to do what had stumped generations of previous machines. While Alexa and Siri rely on a connection to faraway data centers to handle their processing, the iPad needs to be able to do all that work on the device itself to keep up with handwriting (and drawing—machine learning also helps the Notes app straighten out an imperfect doodle of a polygon, for example). That takes way more effort than you’d think.
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“When it comes to understanding [handwriting] strokes, we do>© Courtesy Apple ipad handwriting
Apple
If you buy an Apple Pencil, iPadOS 14 brings an additional method of input, along with speech and the keyboard, to communicate with the iPad. The use-case is narrow, but it’s a digital bridge for handwriting die-hards, and easier than carrying a keyboard with your tablet. It works so well it makes translating your writing into functional text feel like a natural behavior. This is the kind of novelty Apple introduces often, one that feels so organic, you’ll look for excuses to use it.
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