A Two-Step Approach to Training Earth Scientists in AI. Researchers learned machine learning methods during a boot camp, then applied their new knowledge to real-world research problems during a hackathon.Interesting article this week from Pacific Northwest National Laboratory (PNNL) on their two step training process for earth sciences. Sharing some quotes below, link in the... Continue Reading →
Large Language Models in the Geosciences: The Great Debate: European Geosciences Union (EGU). Link to recording now live.
Thoroughly enjoyed participating in the European Geosciences Union (EGU) Great Debate on Large Language Models (LLM) in the Geosciences. A big thank you to the organisers, convenors, my esteemed panel members and everyone who joined the debate for their time and questions.In 1hr 45min we only scratched the surface! Link to the video here: https://meetingorganizer.copernicus.org/EGU25/session/54301In... Continue Reading →
Bringing Subsurface Intelligence to the Surface: Web app helps people understand geothermal potential of their property location in plain language.
Bringing Subsurface Intelligence to the Surface: Web app helps people understand geothermal potential of their property location in plain language. I thought the concept of this project was worth sharing to a wider audience.“This project develops Thermal Atlas, an AI-powered tool to assess the feasibility, cost-effectiveness, and environmental benefits of geothermal heat pump (GHP) installations... Continue Reading →
Open access geoscience data: Global Volcanism Program: Current and past volcanic activity for all volcanoes on the planet in the past 12,000 years.
Global Volcanism Program: Current and past volcanic activity for all volcanoes on the planet in the past 12,000 years. Valuable Open-access data.“The Smithsonian Institution's Global Volcanism Program (GVP) is housed in the Department of Mineral Sciences, National Museum of Natural History, in Washington D.C. We are devoted to a better understanding of Earth's active volcanoes... Continue Reading →
Benchmark dataset of over 3,000 question image pairs for testing AI for geological maps.
Benchmark dataset of over 3,000 question image pairs for testing AI for geological maps. Microsoft Research, China Academy of Geological Sciences and Wuhan University have developed a benchmark dataset to test Vision Language Models (VLM).“Geologic maps are essential tools in earthquake prediction, mineral exploration, infrastructure planning, and environmental assessment. They depict layers of Earth’s crust—faults,... Continue Reading →