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New AI system streamlines segmentation of biomedical images
Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images. For ...
Microsoft has begun testing a new AI-powered feature in Microsoft Photos, designed to categorize photos automatically on ...
The Photos app will be able to automatically identify and sort specific image types (e.g., receipts) into their own folders.
Abstract: One of the cornerstones of processer vision is visual object recognition based on deep learning. Bounding boxes are also detected by these models, in addition to locating and classifying ...
Images have been released of a man who law enforcement says used an explosive device to vandalize an ATM located in a Woburn, Massachusetts, parking lot. Woburn police Chief Brian McManus confirmed ...
Warner Bros. is suing artificial intelligence company Midjourney for copyright infringement, alleging that the startup enables its millions of subscribers to create AI-generated images and videos of ...
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 ...
Image-to-video capability in Google Photos is now powered by the state-of-the-art Veo 3 AI model. It's now available to Google Photos users in the US. You can create videos up to four seconds in ...
The lawsuit was filed as a growing contingent of Hollywood steps into the fight over generative artificial intelligence. By Winston Cho At left: Midjourney's output of “Batman, screencap from The Dark ...
Abstract: This article is based on the U-Net deep learning model and uses the GF-2 multispectral images to classify the land types in the Dahaize mining area. The study first preprocessed remote ...
The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
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