Using Large Language Models to automatically create descriptions of geological images

Using Large Language Models (LLM) for automated geoscience image descriptions. There are some interesting techniques being applied to geoscience information using Frontier AI.When a large volume of images exists, having automated techniques may help us geologists sift through it all, gain insights or pointers to potentially interesting features or areas that may warrant further investigation.Its... Continue Reading →

“Talk to your seismic data” – using Large Language Models

Excellent presentation yesterday using Large Language Models to query seismic interpretations and data using natural language. Nate Suurmeyer from Onward and Anna Dubovik from WAIW ran through the possibilities with their framework, using natural language to ask questions of their structured data such as geological horizons and the sea floor, with basic data and analogues.... Continue Reading →

Blog readership Digital Geoscience

I thought I'd plot where the readers are of my free blog on Digital Geoscience. A total of 144 countries (45 in Europe, 32 in Asia, 30 in Africa, 26 in the Americas, 11 in the Middle East). I was having some challenges with the georeferencing and some countries don't appear but its good enough!I've... Continue Reading →

Advancing transparent and ethical AI

Serious concerns on Deep-time Digital Earth AI: “A scientific chatbot prohibiting certain questions because they may tarnish the image of a government, poses a serious risk to academic freedom of expression”.The development of Artificial Intelligence (AI) in the geosciences continues at pace. There is much to be positive about, but with AI comes a responsibility to ensure these powerful emerging tools are... Continue Reading →

Subsurface of the Future

Subsurface Data: New foresight report from the UK Government Office for Science. The subsurface is a space much the same as the above ground whose use needs to be monitored, planned, and managed. But the data, technologies, and policy tools needed for this lag behind those available for the surface.Quotes on data include: "Evidence gathered... Continue Reading →

Open-source machine vision model for classifying geological images from documents

Ahead of Earth Science week I've openly released a free machine vision model which automatically classifies geological images from documents. Those that have large archives of geoscience documentation may find this helpful to discover, and potentially repurpose, old geological data for new knowledge.Schools and researchers may also find the model helpful to spark their own... Continue Reading →

Geological AI: New open-source tool for scanning grains of sand.

Geological AI: New open-source tool for scanning grains of sand. A convolutional neural network (CNN) was trained by researchers at Stanford on hundreds of electron microscope images of sand grains to determine the depositional environment. This represented material from different geological ages and locations, terrestrial environments fluvial (rivers and streams), eolian (windblown sediments, such as... Continue Reading →

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