AI model predicts soil liquefaction risk for urban planning

phys.org

Researchers from Japan's Shibaura Institute of Technology have developed an artificial intelligence model to predict soil liquefaction risk, enhancing urban planning in earthquake-prone areas like Yokohama. Published on July 17, 2024, in *Smart Cities*, the model integrates machine learning with geotechnical data, achieving high accuracy in risk assessment. This innovation aims to improve infrastructure resilience amid rapid urbanization and climate challenges.


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