Jellyfish's latest annual survey sheds more light on AI coding tools, and which services are used the most by software ...

As marketers dive into AI image generation, one of the chief brand concerns is how to be ethical and transparent.

SAM 2 is a foundational model designed for image and video segmentation tasks, built on its predecessor, SAM. This paper introduces a novel approach leveraging SAM 2's video segmentation capabilities ...

New AI tool to set new standards in MRI image segmentation Research scientists in Switzerland have developed and tested a robust AI model that automatically segments major anatomic structures in MRI ...

Accurate and automatic segmentation of medical images plays an essential role in clinical diagnosis and analysis. It has been established that integrating contextual relationships substantially ...

Before now, GitHub Copilot in VS Code’s editor worked from the cursor position, but now it will look at other recent edits to predict what you might want to do next.

This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...

Interactive image segmentation (IIS) has emerged as a promising technique for decreasing annotation time. Substantial progress has been made in pre- and post-processing for IIS, but the critical issue ...

InnerEye is a research project from Microsoft Health Futures that uses state of the art machine learning technology to build innovative tools for the automatic, quantitative analysis of ...