ECCV 2026, the 19th European Conference on Computer Vision, opens September 8-12 in Malmo, Sweden with 2,883 accepted papers ...

Meta AI Research open-sourced DINOv2, a foundation model for computer vision (CV) tasks. DINOv2 is pretrained on a curated dataset of 142M images and can be used as a backbone for several tasks, ...

Meta has launched SAM 2, an advanced computer vision model that significantly improves real-time video segmentation and object detection. You can now enhance your video editing and analysis projects ...

Forbes contributors publish independent expert analyses and insights. Tech & gaming exec, futurist, & speaker on spatial computing, AI & AR. The future of tech is wearable, AI-powered and spatially ...

AI is advancing at a rapid rate, and Ollama claims its Qwen3-VL is the most powerful vision language model yet. Here's what ...

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 ...

Two new papers from Sony and Meta describe novel methods to make bias detection fairer. Computer vision systems are everywhere. They help classify and tag images on social media feeds, detect objects ...

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 ...

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 ...

Continuing on its open source tear, Meta today released a new AI benchmark, FACET, designed to evaluate the “fairness” of AI models that classify and detect things in photos and videos, including ...

ROCKVILLE, Md.--(BUSINESS WIRE)-- Ceva, Inc. (NASDAQ: CEVA), the leading licensor of silicon and software IP that enables Smart Edge devices to connect, sense and infer data more reliably and ...