Frontiers

Advanced AI for missing modality learning and uncertainty‑aware medical image analysis

Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...
The Next Web

Unconventional AI releases its first model, built on an oscillator architecture its founder says could cut power use by a factor of a thousand

Naveen Rao's Unconventional AI has released Un-0, an image generation model running on a simulated oscillator chip architecture it claims could slash power.
IEEE

Harnessing Text Insights With Visual Alignment for Medical Image Segmentation

Abstract: Pre-trained vision-language models (VLMs) and language models (LMs) have recently garnered significant attention due to their remarkable ability to represent textual concepts, opening up new ...
IEEE

Hyperbolic Geometry-Guided Unsupervised Domain Adaptive Semantic Segmentation in Remote Sensing

Abstract: Unsupervised domain adaptive semantic segmentation (UDA-SS) for remote sensing imagery remains challenging due to the substantial distribution shifts across regions and sensors. Existing ...