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: 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 ...

Meta AI glasses combine advanced computer vision, voice AI, and an innovative in-lens display with neural band control, transforming how users see, hear, and interact with the world. Ray-Ban - ...

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 moved fast in 2025: new multimodal backbones, larger open datasets, and tighter model–systems integration. Practitioners need sources that publish rigorously, link code and benchmarks, ...

DINOv3 represents a major leap in computer vision: its frozen universal backbone and SSL approach enable researchers and developers to tackle annotation-scarce tasks, deploy high-performance models ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

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 ...