Tag: geology

Opensource GEOAssist V2.0 Released!

GEOAssist V2.0: Opensource Geological AI App. Extract geoscience entities from your PDFs and create Geoscience Knowledge Graphs (GeoKG). Surface insights, find patterns, validate structure and support discovery. I've added an extra feature this weekend allowing automatic extraction of geoscience data and associations from your PDFs using Large Language Models (LLM).You can run GEOAssist locally on a... Continue Reading →

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EarthScape: A Multimodal Dataset for Surficial Geologic Mapping and Earth Surface Analysis

EarthScape: A Multimodal Dataset for Surficial Geologic Mapping and Earth Surface Analysis. Advancements in deep learning and the proliferation of remote sensing imagery present an opportunity to expand surficial geologic mapping, overcoming the limitations of tedious and biased traditional workflows.Interesting paper from Massey and Imran (2025) with supporting Open source code and data in GitHub.... Continue Reading →

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Text Embeddings for Rock Classifications

I tested if we might differentiate rock types and their associations based on the patterns of words that occur around them in large archives of geological reports. Using a text embeddings model generated through the unsupervised machine learning from thousands of geological survey reports, approximately 2,000 rock type names were compared to each other. The... Continue Reading →

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Text Embeddings for Mineral Association Discovery

Data driven discovery: It may be interesting to compare the similarities of minerals based on their co-occuring words in large amounts of archive geological reports, to actual known reported mineral occurrences in databases such as Mindat. One could perhaps easily automate this algorithmic comparison, leaving ranked "candidate" mineral associations not present in reference databases. There... Continue Reading →

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Critical Minerals, Artificial Intelligence and the United States Geological Survey (USGS).

A collaboration between the USGS, DARPA, and ARPA-E called CriticalMAAS could deliver AI tools to solve US critical mineral challenges.“Geologists and innovators from the U.S. Geological Survey, the Defense Advanced Research Projects Agency (DARPA), the Advanced Research Projects Agency-Energy (ARPA-E), and other partners came together Jan. 13-17 to collaborate, train, and transition artificial intelligence (AI)... Continue Reading →

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Querying structured databases in natural language using Large Language Models (Open AI’s GPT-4) for Geoscience Data Analysis

Open access code: Querying one of the largest mineral databases in the world using natural language for co-occurrence mineral analysis and heat map visualization for geoscience data analysis.Interesting paper from Zhang et al (2025) from the University of Idaho connecting Open AI's GPT-4o Large Language Model (LLM) through prompt engineering to the mineral database Mindat... Continue Reading →

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World’s First Peer-Reviewed Paper on Artificial Intelligence (AI) Ethics in the Geological Sciences with a focus on Language Models.

Delighted my paper on AI Ethics in the Geological Sciences has been published today in the peer reviewed open access Journal of Geoethics and Social Geosciences!AbstractArtificial Intelligence (AI) offers many opportunities for the geosciences to improve productivity, reduce uncertainty in models and stimulate discovery of new knowledge. There are also risks to geoscience, from the... Continue Reading →

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