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

New research offers clues to what goes on inside the minds of machines as they learn to see. Instead of attempting to account for a neural network's decision-making on a post hoc basis, their method ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

Recent advancements have witnessed an impressive convergence between neural network architectures and spectroscopic techniques within computer vision. Deep learning methods, particularly convolutional ...

In recent years, owing to the advancements in the immense processing ability and parallelism of modern graphics processing units (GPUs), deep learning based on convolutional neural networks (CNN) has ...

Ultralytics Inc., a developer of computer vision models, today announced that it has raised $30 million in funding. Elephant VC led the Series A round with participation from SquareOne. Ultralytics ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Welcome to the forefront of industrial innovation, where artificial intelligence, machine ...

Welcome to TNW’s beginner’s guide to AI. This multi-part feature should provide you with a very basic understanding of what AI is, what it can do, and how it works. The guide contains articles on (in ...

Editor’s note: One of the central technologies of artificial intelligence is neural networks. In this interview, Tam Nguyen, a professor of computer science at the University of Dayton, explains how ...

Tesla CEO Elon Musk has been teasing a neural network training computer called “Dojo” since at least 2019. Musk says Dojo will be able to process vast amounts of video data to achieve vision-only ...

Dr. Tam Nguyen receives funding from National Science Foundation. He works for University of Dayton. There are many applications of neural networks. One common example is your smartphone camera’s ...