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A deep-learning algorithm could detect earthquakes by filtering out city noise The model could uncover quakes that would previously have been dismissed as human-generated vibrations.
A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the accuracy of subgraph matching—a critical task in fields ranging from drug ...
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Tech Xplore on MSNSeeing clearly through thick fog: Researchers develop ultra-low noise, high sensitivity photodetectorThick fog remains a major challenge on highways, mountainous roads, and airport runways, where vision-based recognition systems frequently fail. Traditional visible light cameras, LiDAR ...
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