A new artificial intelligence (AI) framework offers a more reliable way to restore partially hidden objects in satellite ...

Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...

Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.

The system was tested against representative drone scenarios, including detection, tracking, and dynamic target movement, and ...

Tripo AI, a developer of interactive 3D foundation models and world models, said today it has closed on a hefty $150 million ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

New AI visual perception framework combining DINOv3 and Mask2Former tops 56 teams in GOOSE 2D semantic segmentation at the ICRA 2026 field robotics workshop ...

Researchers have developed an AI technology that can locate a user-specified object inside a robot's three-dimensional field of view in just five seconds u ...

Cutie is a video object segmentation framework -- a follow-up work of XMem with better consistency, robustness, and speed. This repository contains code for standard video object segmentation and a ...

Abstract: Open-vocabulary camouflaged object segmentation (OVCOS) seeks to segment and classify camouflaged objects in arbitrary categories, presenting unique challenges due to visual ambiguity and ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...