Single-cell imaging and machine learning reveal hidden coordination in algae's response to light stress

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...
GitHub

What is Unsupervised Learning?

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...
IEEE

Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training

Abstract: Unsupervised domain adaption (UDA), which aims to enhance the segmentation performance of deep models on unlabeled data, has recently drawn much attention. In this paper, we propose a novel ...
SlashGear

There's Only One Thing Tesla Could Do To Make Me Consider Buying A Model Y SUV

I've been obsessed with electric cars since before I could drive. Growing up, my next-door neighbor was an auto mechanic from Italy named Angelo who spent a couple years building an electric car from ...
IEEE

Unsupervised Cross-Modality MR Image Segmentation Via Prompt-Driven Foundation Model

Abstract: Obtaining pixel-level expert annotations is expensive and labor-intensive in the medical imaging field, especially for multi-modality imaging data like MR. Most conventional cross-modality ...
EurekAlert!

Unsupervised cross-domain adaptation: single-pixel image transmission in unknown dynamic channels

Imaging technologies are ubiquitous in our daily lives, from smartphone cameras to medical imaging devices, helping us capture images and perceive objects. However, when faced with complex ...