Rice University’s MetaSeg matches U-Net accuracy using 90% fewer parameters, making AI medical image segmentation faster, cheaper, and more accessible for hospitals and researchers.
The Korea Research Institute of Standards and Science (KRISS) has developed an artificial intelligence (AI)-based image ...
When it comes to generative AI news, Meta has taken somewhat of a backseat as of late. However, on Wednesday, the tech giant unveiled research on image segmentation that could have a large impact on ...