The field of handwritten character recognition has experienced a paradigm shift with the incorporation of neural network methodologies. These approaches have revolutionised traditional optical ...

Researchers at Caltech have developed an artificial neural network made out of DNA that can solve a classic machine learning problem: correctly identifying handwritten numbers. The work is a ...

You wouldn’t typically associate graphing calculators with artificial intelligence, but hacker [KermMartian] recently made it happen. The innovative project involved running a neural network directly ...

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.

Using multiple neural networks, MyScript Nebo observes the user’s stylus strokes and recognizes characters, words, and phrases. Using multiple neural networks, MyScript Nebo observes the user’s stylus ...

As part of MakerWeek 2023, The New York Times’ annual hackathon, iOS and Android mobile engineers explored the ability to write in The New York Times Crosswords app on each respective platform. As an ...

Handwritten Text Recognition (HTR) has undergone a transformative evolution with the advent of neural network architectures. These approaches address the inherent variability of individual handwriting ...