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 ...

What if you could look into a cow’s face and know if it had a fever? A new tool from the Artificial Intelligence and Computer ...

Abstract: Computer vision is a versatile area that allows a computer to understand and analyze images from the environment. This paper focuses on a comprehensive discussion of where computer vision is ...

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 ...

Computer vision libraries have changed how AI models classify images. These tools help digital systems understand visual data very well. They allow AI models to spot complex patterns and objects in ...

California-based Cognixion is launching a clinical trial to allow paralyzed patients with speech disorders the ability to communicate without an invasive brain implant. Cognixion is one of several ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

New research demonstartes the power of combining computer vision with generative models to address key inefficiencies in smart farming. Published in Applied Sciences, the study emphasizes how these AI ...