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 ...

Dorota Skowronska-Krawczyk sits in her office, eyes fixed on the computer monitor in front of her. "You see it move its eye," ...

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 ...

Copilot’s limitations are ever-present, and it can lead you astray on even the basics. If you buy something from a Verge link, Vox Media may earn a commission. See our ethics statement. is a reviewer ...

Flight cuts to hit 40 busiest U.S. airports due to government shutdown, computer chips in our bodies could be the future of medicine, and more Length: Long Speed: 1.0x It's been a long time since ...

Abstract: Vision systems that see and reason about the compositional nature of visual scenes are fundamental to understanding our world. The complex relations between objects and their locations, ...

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, ...

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 ...