The message is indeed the medium, but sometimes this concept gets lost in the exuberance of the breakneck pace of technology development. Whatever the form of your favorite computer--whether it sits ...

For most of our history, handwriting was the primary means of communicating and information organization. But for the sake of efficiency and time, mechanical and digital technology has slowly begun ...

Arabic handwriting recognition presents a unique challenge due to the inherent intricacies of the script, including its cursive nature, overlapping characters, and significant variability in ...

Having tried handwriting recognition in Audi, BMW and Mercedes-Benz vehicles over the past several years, I’ve always regarded the feature as a novelty rather than a necessity. For me, it ranks below ...

In a move that could have interesting implications for the future of its non-Latin audience, Google Translate has brought handwriting recognition – first introduced in its Android app – to the web. In ...

The rise of artificial intelligence technology along with machine and deep learning are opening up almost limitless possibilities. There is also an element of fear towards this exponential growth. But ...

iPadOS 14 brings handwriting recognition to Apple tablets, at long last. The new system is called Scribble, and it’s easy to use, fast and flexible. You’ll need an active stylus, though. It doesn’t ...

Nebo is a digital notetaking app that was created by MyScript to showcase its handwriting recognition technology known as Ink. The app is iPad-only because it requires an Apple Pencil for input. Nebo ...

iPad handwriting recognition is reportedly coming soon, allowing users to write words into any text box with an Apple Pencil. Screenshot: Apple iPad users will be able to use an Apple Pencil to write ...

Egg freckles. Eat up Martha. Cafe Fwiblob. There was a time when these words would have elicited instant giggles. Memes from the time before Twitter or Facebook, Apple’s Newton and its often-errant ...

When training neural networks to recognise things, what you need is a big pile of training data. You then need a subsequent pile of testing data to verify that the network is working as you’d expect.