If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...

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 ...

Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring, and personalized treatment planning. In disciplines like ...

This project evaluates 6 Explainable AI (XAI) methods in the context of semantic segmentation for autonomous driving. The evaluation is divided into three phases: Phase 1: Model application using ...

Pore space in tight sandstone formation is very complex with micro-scale and nano-scale pores/throats, the multi-scale characteristics needs to be considered for the construction of microscopic pore ...

Abstract: Medical image segmentation has made signiffcant strides with the development of basic models. Speciffcally, models that combine CNNs with transformers can successfully extract both local and ...

Abstract: Previous industrial robots combined with vision systems in target grasping tasks have high requirements for the task environment. Once the vision system is confronted with a target object in ...

The recent development of cellular imaging techniques and the application of genetically encoded sensors of neuronal activity led to significant methodological progress in neurobiological studies.