For startups and established businesses, understanding the importance of segmentation is essential for the granular analysis of consumer demographics, behaviors, needs, and preferences. These insights ...

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is under scrutiny, for instance, its different parts ...

Abstract: Land cover classification plays an important role in monitoring environmental changes and supporting urban planning. Traditional pixel-based classification methods usually have lower ...

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 ...

Google updates a support page to list exact Gemini usage limits for free, AI Pro, and AI Ultra plans. Don't miss out on our latest stories. Add PCMag as a preferred source on Google. Google has ...

An image shared on social media in September 2025 authentically showed U.S. President Donald Trump with a puffy face. California Gov. Gavin Newsom's press office shared (archived) the purported image ...

What if you could transform a static image into a dynamic video, seamlessly swap objects in a photo, or even visualize how a design might evolve over decades, all with just a few clicks? Enter the ...

Google is upgrading its Gemini chatbot with a new AI image model that gives users finer control over editing photos, a step meant to catch up with OpenAI’s popular image tools and draw users from ...

Something unusual happened in the world of AI image editing recently. A new model, known as “nano banana,” started making the rounds with impressive abilities that landed it at the top of the LMArena ...

Physicists are exploring a quantum-mechanical approach to making smaller radio wave detectors. Physicists have created a new type of radar that could help improve underground imaging, using a cloud of ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...