In 2015, the launch of YOLO — a high-performing computer vision model that could produce predictions for real-time object detection — started an avalanche of progress that sped up computer vision’s ...

Computer vision and multimedia computation encompass a rapidly evolving interdisciplinary field in which advanced algorithms, high-speed processing hardware, and deep learning paradigms coalesce to ...

Two years ago, Microsoft announced Florence, an AI system that it pitched as a “complete rethinking” of modern computer vision models. Unlike most vision models at the time, Florence was both “unified ...

An autonomous vehicle must rapidly and accurately recognize objects that it encounters, from an idling delivery truck parked at the corner to a cyclist whizzing toward an approaching intersection. To ...

Stephen is an author at Android Police who covers how-to guides, features, and in-depth explainers on various topics. He joined the team in late 2021, bringing his strong technical background in ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Facebook today announced an AI model trained on a billion images that ...

Many of today's businesses have recognized the benefits of AI. McKinsey reports that computer vision ranks second among all other AI solutions in terms of application, and Statista research predicts ...

Cattle identification is emerging as a pivotal aspect of precision livestock farming, with deep learning and computer vision offering robust, non-contact solutions to traditional tagging methods. By ...

Forbes contributors publish independent expert analyses and insights. I write about contemporary cybersecurity and online privacy issues. Integrating computer vision technology is a big step forward ...