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Explores innovative machine learning solutions in geotechnical engineering, suggesting transformative potential for future infrastructure.
The 6th Machine Learning in Geotechnics Dialogue (6MLIGD), held on 24 August 2025, in Oslo, was a pivotal event under the International Symposium on Geotechnical Safety and Risk (ISGSR 2025). The dialogue brought together leading experts from academia, industry and policymakers to explore the transformative potential of machine learning (ML) in geotechnical engineering. The event featured a structured format, including invited talks, panel discussions and group sessions, fostering collaboration and knowledge exchange. Key topics included advancements in ML-driven site investigations, tunnelling, geohazard monitoring and infrastructure resilience. The dialogue also addressed critical challenges such as data sharing, standardisation, the integration of emerging technologies like large language models (LLMs) and geo-data governance. The 6MLIGD emphasised the importance of interdisciplinary collaboration, real-world case studies, and the development of benchmark datasets to accelerate research and practice. The outcomes of the dialogue underscored the need for innovative ML solutions to address geotechnical challenges, paving the way for smarter, more resilient infrastructure systems.
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Soranzo et al. (2026) studied this question.
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