Nanowerk

Generative AI designs better fuel cell catalyst layers in seconds instead of months

A generative AI framework rapidly designs optimized fuel cell catalyst layers that deliver significantly better performance ...

Rail Vision: Quantum Transportation Unveils Transformer Neural Decoder That Outperforms Classical QEC Algorithms in Simulations

Simulation results show enhanced logical error suppression and real-time decoding potential Ra’anana, Israel, Feb. 05, 2026 ...
IEEE

An Improved Method for Zero-Shot Semantic Segmentation

Abstract: Zero-shot semantic segmentation continues to face challenges in effectively handling unseen object classes, despite its critical applications in medical imaging, autonomous driving, and ...
IEEE

SAT-Net: Structure-Aware Transformer-Based Attention Fusion Network for Low-Quality Retinal FunduImages Enhancement

Abstract: In ophthalmology diagnosis, high-fidelity fundus images are essential for disease diagnosis and intervention. However, many real-world clinical conditions may degrade the quality of the ...
Business Insider

Rail Vision: Quantum Transportation Delivers First Transformer-Based Neural Decoder for Universal Quantum Error Correction

Achieves superior decoding accuracy and dramatically improved efficiency compared to leading classical algorithms Ra’anana, Israel, Jan. 15, 2026 (GLOBE NEWSWIRE) -- Rail Vision Ltd. (Nasdaq: RVSN) ...