On Wednesday, Meta announced an AI model called the Segment Anything Model (SAM) that can identify individual objects in images and videos, even those not encountered during training, reports Reuters.

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.

Google this week made its semantic image segmentation feature, which is what powers the portrait effect on the Pixel smartphones, available to academia and researchers. Google uses semantic image ...

Google's Pixel 2 lineup reportedly delivers one of the best imaging experiences from a smartphone, according to users. Now, its portrait mode goes open-source. Industry experts apparently agree that ...

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 ...