Abstract: The convolutional neural network (CNN) and transformer have gained significant attention in the field of single image super-resolution (SISR), owing to their powerful capacity in nonlinear ...
Scientists have developed an AI system that can rapidly predict complex defect patterns in liquid crystals, cutting simulation times from hours to milliseconds. The approach could transform how ...
Spectrum Dynamics Medical, a global leader in digital nuclear medicine imaging solutions, today announced that it has received FDA 510(k) clearance for Veritas.AI™ Noise Reduction, its advanced ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
Topological defects govern how many advanced materials behave, but predicting them has traditionally required slow, ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...
Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry transitions into an ordered ...
Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, ...
A DNA-Level Convolutional Neural Network Based on Strand Displacement Reaction for Image Recognition
Abstract: Over the past few decades, convolutional neural network (CNN) has found broad applications in image recognition. Nevertheless, the operational environment of CNN is facing significant ...
SHENZHEN, China, Dec. 18, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep ...
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