The artificial intelligence behind self-driving cars, medical image analysis and other computer vision applications relies on what's called deep neural networks.

But, the use of deep learning and artificial neural networks is making computer vision more capable of replicating human vision.

In recent years, the field of computer vision has witnessed a remarkable transformation with the introduction of Convolutional Neural Networks (CNNs). These deep learning models have ...

Advances in AI — specifically deep learning and neural network innovations — have made it possible for computer vision to become as good at recognizing objects and patterns as the human eye.

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 ...

Modern computer models -- for example for complex, potent AI applications -- push traditional digital computer processes to their limits. New types of computing architecture, which emulate the ...

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.

Mohamad Hassoun, author of Fundamentals of Artificial Neural Networks (MIT Press, 1995) and a professor of electrical and computer engineering at Wayne State University, adapts an introductory ...

The chip contains almost 8,400 functioning artificial neurons from waveguide-coupled phase-change material. The researchers trained this neural network to distinguish between German and English ...