AI Ethics in Geoscience: Organisations representing over 300,000 geoscientists have now endorsed the recommendations from our report.The “AI Ethics Recommendations for the Geoscience Community” were produced by the Task Group on AI in the Geosciences - of the Commission on Geoethics of the International Union of Geological Sciences (IUGS).The report was published in late September... Continue Reading →

Abstract Submission Open! AI in the Geosciences Conference - Geological Society of London.Deadline 5th January 2026.The inaugural AI in the Geosciences conference is a new hybrid event aimed at researchers, industry professionals, students, policy makers, and all those with an interest in responsible innovation. The meeting will explore how artificial intelligence, machine learning, and big... Continue Reading →

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 →

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.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 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 →