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 →

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 →

Geoscience AI in crisis?

My letter in the 'Geoscientist' raises serious concerns about Artificial Intelligence from the Deep-time Digital Earth (DDE) project, around lack of transparency, state censorship, and potential copyright infringement.DDE is an international geoscience Big Data and AI project endorsed by the International Union of Geological Sciences (IUGS) and led by China. The DDE accords were signed... Continue Reading →

Mapping and understanding Earth: Open access to digital geoscience data and knowledge supports societal needs and UN sustainable development goals.

Excellent paper published this month by Hinsby et al (2024) abstract below:Open access to harmonised digital data describing Earth’s surface and subsurface holds immense value for society. This paper highlights the significance of open access to digital geoscience data ranging from the shallow topsoil or seabed to depths of 5 km.Such data play a pivotal role... Continue Reading →

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