Medical image segmentation is a fundamental component of many clinical applications such as computer-aided diagnosis, radiotherapy planning, and preoperative planning. Its accuracy and stability ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min The Tampa company's corporate ...

Lots of artificial intelligence tools can make images. But which is the best? We challenged five leading AI image generators to edit photos, convey emotion and make art. Tap through our tests and see ...

Abstract: In this paper, we present UISE, a unified image segmentation framework that achieves efficient performance across various segmentation tasks, eliminating the need for multiple specialized ...

Katelyn is a writer with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...

When it comes to market segmentation, I don’t see truly well-documented cases often. At a more simplistic level, we think of classic matrices such as BCG or McKinsey’s. But the real exercise of ...

Google’s new Nano Banana Pro is making waves online, and people are declaring the end of traditional photography. It may be time to say goodbye to photography as you know it. At least, that’s the ...

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 ...

We’re running out of ways to tell you that Google is releasing more generative AI features, but that’s what’s happening in Google Photos today. The Big G is finally making good on its promise to add ...

But the model is not yet available in the EU. But the model is not yet available in the EU. is a NYC-based AI reporter and is currently supported by the Tarbell Center for AI Journalism. She covers ...