Neural network architectures for visual pattern recognition have evolved from early multilayer perceptrons to sophisticated deep models that extract hierarchical features from raw pixel data.

Using eye-tracking methods, researchers at the University of California, San Diego School of Medicine have shown that toddlers with autism spend significantly more time visually examining dynamic ...

The fly Drosophila melanogaster can discriminate and remember visual landmarks. It analyses selected parts of its visual environment according to a small number of pattern parameters such as size, ...

Technical traders have long searched for distinctive shapes in stock-price charts in order to predict returns. As artificial intelligence systems become better and better at recognizing visual ...