How Computer Vision Algorithms Work The most sophisticated computer vision algorithms are based on a kind of artificial intelligence known as a convolutional neural network. A CNN is a type of ...

Transformer Architectures Transforming Visual Processing Historically, convolutional neural networks (CNNs) dominated computer vision by leveraging local spatial filters.

Neural networks today do everything from cameras to translations. A professor of computer science provides a basic explanation of how neural networks work.

In recent years, neural networks have proven to be the most efficient algorithm for pattern recognition in visual data and have become the key component of many computer vision applications.