ITHACA, N.Y. -- A computer graphics project at Cornell University could lead to an improved quality of life for people with visual disorders classified as "low vision." James Ferwerda, a research ...
We design, model, and build systems that combine sensors, displays, and novel optical elements to enable new functionality in cameras and displays for applications in medical, astronomical, and ...
Computer vision (CV) and image processing are two closely related fields that utilize techniques from artificial intelligence (AI) and pattern recognition to derive meaningful information from images, ...
Access to rich imagery shouldn’t be something that blind or low-vision people have to do without. These projects are helping. In 2020, in the midst of pandemic lockdown, my husband and I bought a ...
Computer vision and image recognition are terms that are often used synonymously, but the former encompasses more than just analyzing pictures. That’s because, even for humans, “seeing” also involves ...
Welcome to Neural Basics, a collection of guides and explainers to help demystify the world of artificial intelligence. If I asked you to name the objects in the picture below, you would probably come ...
Welcome to TNW’s beginner’s guide to AI. This (currently) four 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 ...
Phil Goldstein is a former web editor of the CDW family of tech magazines and a veteran technology journalist. He lives in Washington, D.C., with his wife and their animals: a dog named Brenna, and ...
Randy Barrett is a freelance writer and editor based in Washington, D.C. A large part of his portfolio career includes teaching banjo and fiddle as well as performing professionally. Over time, human ...
Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...
Computer vision, or the ability of artificially intelligent systems to “see” like humans, has been a subject of increasing interest and rigorous research for decades now. As a way of emulating the ...
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