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

A broadband single-pixel diffractive optical network maps the spatial information of input objects behind an unknown random diffuser into the power spectrum at the output pixel aperture. Spectral ...

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 ...

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 ...

In an era dominated by keyboards and touchscreens, the ancient practice of putting pen to paper has become increasingly rare. Many view handwriting as merely a slower, less efficient method of ...

In context: Researchers are turning the creative world upside down, exploiting artificial intelligence and machine learning algorithms to turn many tasks into semi-autonomous processes. Nothing is ...

Dr. James McCaffrey of Microsoft Research demonstrates how to fetch and prepare MNIST data for image recognition machine learning problems. Many machine learning problems fall into one of three ...

Brain-computer interfaces (BCIs), also known as brain machine interface (BMIs), convert brain activity into outputs that enables lost or impaired functions such as movement or speech. BCIs have been ...

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 ...