IEEE

Contrastive Self-Supervised Learning-Based Background Reconstruction for Hyperspectral Anomaly Detection

Abstract: Deep learning (DL) has received a lot of attention in hyperspectral anomaly detection (HAD) in recent years. While some progress has been made in boosting the generalization of DL-based HAD ...
Frontiers

Generative AI in Education: Cognitive Mechanisms, Learning Outcomes, and Evidence-Based Practice

The rapid adoption of generative AI tools — including large language models such as ChatGPT, DeepSeek, and domain-specific tutoring systems — has outpaced ...

LLMs believe false statements even after explicit warnings that they’re false

New research on so-called “negation neglect” finds that LLMs in a roughly analogous situation don’t behave that way. They ...
IEEE

Self-Supervised Feature Learning for Cardiac Cine MR Image Reconstruction

Abstract: We propose a self-supervised feature learning assisted reconstruction (SSFL-Recon) framework for MRI reconstruction to address the limitation of existing supervised learning methods.