The Verge

OpenAI’s new flagship image generator AI is here

The company is positioning it as especially good for enterprise use. The company is positioning it as especially good for enterprise use. is The Verge’s senior AI reporter. An AI beat reporter for ...
SiliconANGLE

Meta’s new image segmentation models can identify objects and people and reconstruct them in 3D

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 ...
ZDNet

You can now try Microsoft's new in-house AI image generator model - here's how

Microsoft's new AI image model is available to test. It's in Bing Image Creator, Bing mobile app, and Bing search bar. You can test it against OpenAI's image models. Ever use Microsoft Copilot or Bing ...
The Verge

Google’s AI Mode image search is getting more conversational

Users in the US can now shop for products using natural language descriptions and reference images. Users in the US can now shop for products using natural language descriptions and reference images ...
Mashable

I put the top AI image generators head-to-head — see the results for yourself

All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission. AI-Generated Image. Credit: ...
News Medical

New AI model performs medical image segmentation with far less data

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...
marktechpost

GenSeg: Generative AI Transforms Medical Image Segmentation in Ultra Low-Data Regimes

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 ...
IEEE

AI for Healthcare: Applications of Semantic Segmentation in Lung Cancer Detection Using Python and Implications for Public Policy

Abstract: The purpose of this paper is to study of how machine learning algorithms, artificial intelligence, semantic segmentation and fine recognition can be used to enhance computer vision in order ...
IEEE

Panel Segmentation: A Python Package for Automated Solar Array Metadata Extraction using Satellite Imagery

Abstract: The NREL Python Panel-Segmentation package is a toolkit that automates the process of extracting accurate and valuable metadata related to solar array installations, using publicly available ...
GitHub

RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models

This repository is the official implementation of the paper RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the OpenMMLab codebase. The ...
Frontiers

GA-TongueNet: tongue image segmentation network using innovative DiFP and MDi for stable generalization ability

1 College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China 2 Institute for Complexity Science, Henan University of Technology, Zhengzhou, China Tongue is ...