The British Geological Survey (BGS) is using Large Language Models to improve real-time monitoring of geological hazards and their impacts.

The British Geological Survey (BGS) is using Large Language Models to improve real-time monitoring of geological hazards and their impacts.“To date, the real-time impact data that is needed to effectively forecast and monitor geological hazard events has been unavailable or incomplete. The FloodTags platform aims to fill this gap by using large language models (LLMs)... Continue Reading →

Synthetic Geology – Structural Geology Meets Deep Learning.

Synthetic Geology - Structural Geology Meets Deep Learning. Intriguing paper from Ghyselincks et al (2025). Subsurface deep learning by a synthetic data-generator process that mimics geological activity such as sediment compaction, volcanic intrusion, and tectonic. The authors then built a foundation model trained on this synthetic data to generate a 3D image of the subsurface... Continue Reading →

Webinar: The AuScope EarthBank ProjectBuilding Nationally Collaborative Geochemical Research Infrastructure to Enable Discovery.

Webinar: The AuScope EarthBank ProjectBuilding Nationally Collaborative Geochemical Research Infrastructure to Enable Discovery.Webinar 1st July 2025. Register link in the comments.AbstractProf Brent McInnes , AuScope EarthBank Project Director, John de Laeter Centre, Curtin University, Australia.“The AuScope EarthBank project (EarthBank project) is a $21 million national initiative to modernise Australia’s geochemistry data infrastructure and to advance... Continue Reading →

Open access geoscience data: First global scale submarine landform dataset driven by terrain knowledge at 15 arc second.

Open access geoscience data: First global scale submarine landform dataset driven by terrain knowledge at 15 arc second.Paper, code and dataset published by Yu et al (2025).This dataset is reported to be “the first global scale submarine landform dataset at 15 arc second, which offers a new perspective on submarine landforms, providing key insights into... Continue Reading →

Enjoyed listening and giving a talk to the AAPG and Mining Young Professionals network yesterday in London.

Enjoyed listening and giving a talk to the AAPG and Mining Young Professionals network yesterday. Excellently organised event and thought provoking discussions.Great session from Graeme Bagley on soft skills, then an inspirational talk from Promise Ekeh .This was followed by geoscience digitalisation talks from Shashwat Verma , Peter Kiss and myself on unstructured data and... Continue Reading →

Generating microscopic images of rocks using generative artificial intelligence

Interesting paper generating microscopic images of rocks using generative artificial intelligence (GenAI) published this week by Młynarczuk and Habrat (2025).“The generation of synthetic images can be an important element in supporting the augmentation and analysis of multimedia data. It has applications in many scientific fields. Also, in geological and mining sciences.This study presents generative artificial... Continue Reading →

The Common Pile

The Common Pile: The largest dataset ever built exclusively from public & openly licensed text.The authors Kandpal et al (2025) also release “Comma v0.1-1T and -2T, two performant 7-billion-parameter LLMs trained on text from the Common Pile”.“produces models comparable to those trained on an equivalent amount of unlicensed data. Ultimately, we believe that the Common... Continue Reading →

Website Powered by WordPress.com.

Up ↑