AI, Drones and satellites: tech skills for geoscientists or get left behind: Sponsored by the Geological Society of South Africa , Geological Society of Zimbabwe , WAIMM (West African Institute of Mining, Metallurgy and Petroleum) and American Institute of Professional Geologists (AIPG).

Fantastic event today, 1400 geoscientists signed up for “AI, Drones and satellites: tech skills for geoscientists or get left behind”.Sponsored by the Geological Society of South Africa , Geological Society of Zimbabwe , WAIMM (West African Institute of Mining, Metallurgy and Petroleum) and American Institute of Professional GeologistsExcellent talks from David Hodgetts and Glen Nwaila... Continue Reading →

Data Geologists Are Key to Making the Energy Transition Work

A shortage of workers with the right skills risks undermining the installation of greener power sources.Interesting article from Lara Williams (Bloomberg) today.“While Britain's need for engineers, welders and electricians is well documented, less has been said about the rising demand for expertise in geology and geophysics.”“As we try to wean ourselves off fossil fuels, knowledge... Continue Reading →

Presenting at Applications of Machine Leaning in Geoscience Conference in Nov 2025

Delighted to be invited to present at the GESGB “Innovating Geoscience through Machine Learning” conference with such a great line up of speakers. Link in the comments.Prof. Cedric John John - Queen Mary University of London Towards Meaningful Applications of Al in the GeosciencesNanzhe Wang - Stanford UniversityDeep Learning based Multi-Objective Markov Chain Monte Carlo... Continue Reading →

Project Innerspace: Africa as a showcase of geothermal prospecting.

Project Innerspace: Africa as a showcase of geothermal prospecting.GeoMap™ Beta was launched a couple of years ago at the 28th Conference of the Parties to the UN Framework Convention on Climate Change (“COP28“) Climate Innovation Forum in Dubai, UAE.“A fundamental driver behind GeoMap™ is to showcase underestimated and untapped geothermal potential, especially in regions where... Continue Reading →

Opensource GEOAssist 3.0 Released! Harness the power of natural language with LLM-driven map creation.

Opensource GEOAssist v3.0 Released! Harness the power of natural language with LLM-driven map creation, utilizing 1.6 million mineral and rock localities from Mindat, the world's largest minerals database.New functionality added this weekend. The example natural language query shown in GEOAssist is “Show copper, gold, antimony indium, niobium, beryllium, tantalum and tungsten in Peru”. The LLM used... Continue Reading →

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 →

Opensource GEOAssist Agent V1.0 Released!

Iniital 19th August 2025 Post: I created an Open-source Geological AI App yesterday that lists reference literature and visualises plate reconstructions if relevant to the question. It was just to illustrate how we can use Large Language Models (LLM) to enable natural language querying of multiple sources, both unstructured and structured, to help us gather... Continue Reading →

Teaching rocks to speak

Teaching Rocks to Speak: The Promise of Large Geologic Models and Generative AI. If you are attending the IMAGE conference this month you may wish to pop over to see Andrew Davidoff’s presentation.In my opinion it’s a non-technical high level thought provoking piece on subsurface Multi-modal Large Language Models (MLLM) from the perspective of someone... Continue Reading →

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