Static models can’t keep pace with fluid consumer behavior. AI makes it possible to follow dynamic shifts and design for the flock. The post When customers move like starlings — and what it means for ...

Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

Learn the core practice of dividing a broad market into distinct subsets of consumers based on shared characteristics.

Abstract: Multimodal remote sensing image segmentation (MRSIS) is important for intelligent remote sensing (RS) image interpretation, which encompasses three distinct tasks: semantic segmentation, ...

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 ...

Astronomers have been racing to get a better look at 3I/ATLAS, a mysterious object screaming into our solar system from far beyond. Now, as the BBC reports, new observations by the Gemini South ...

We propose SegDINO, an efficient image segmentation framework that couples a frozen DINOv3 backbone with a lightweight MLP decoder, achieving state-of-the-art performance on both medical and natural ...