Because it can be difficult even for humans to recognize others' sloppy handwriting, identifying handwritten numbers is a common test for programming intelligence into artificial neural networks.

Scientists have developed an artificial neural network out of DNA that can recognize highly complex and noisy molecular information.

The demo Python program uses back-propagation to create a simple neural network model that can predict the species of an iris flower using the famous Iris Dataset.

The innovative project involved running a neural network directly on a TI-84 Plus CE to recognize handwritten digits.