Augmented reality (AR) uses cutting-edge technology to add artificial, digital qualities to real-life objects. Learn how AR ...

LUMISTAR concluded its debut at CES 2026 with overwhelming attention from attendees, media, and industry professionals, as ...

McGill University researchers found training your brain in a specific, targeted, computerized way can produce important ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Abstract: Deep learning models in computer vision face challenges such as high computational resource demands and limited generalization in practical scenarios. To address these issues, this study ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A Cornell research team has introduced a new method that helps machines make ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Objective: To evaluate the precision of a computer vision (CV) and augmented reality (AR) pipeline for orthodontic applications, specifically in direct bonding and temporary anchorage device (TAD) ...

The state of the art in human-centric computer vision achieves high accuracy and robustness across a diverse range of tasks. The most effective models in this domain have billions of parameters, thus ...

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 ...