Issues can arise when chatbots intended for an international audience are based on current Chinese Large Language Models (LLM) which are state censored. These models include traits identified in testing such as refusing to answer certain questions, deflection by broadening a question, omission, and propaganda. These models, such as potentially Alibaba's "Qwen" are available in... Continue Reading →

At the University of Exeter Institute for Data Science and Artificial Intelligence (part of Turing Institute) at the AI for Geological Modelling and Mapping conference today. Great conference, discusions, excellent presentations from: Kristine Asch, BGR, Germany – Geology without frontiers: The pioneer project of the first digital International Geological Map of Europe (IGME 5000)Charlie Kirkwood,... Continue Reading →

World's Largest Industrial Large Language Model: Aramco introduce Metabrain, their strategic 250 Billion parameter LLM trained on 7 Trillion tokens including 90 years of data. Amin H Nasser, President and CEO of Aramco stated:"We believe metabrain has the potential to raise both productivity and growth as well as transform the way we work.""On the Upstream... Continue Reading →

Delighted to co-author this published paper with my Brazilian colleagues. Identifying and comparing information cultures: a perspective from research institutes and academic librariesThis article aims to identify the information culture of two research institutes and an academic library, to verify the alignment of this culture with the organizational strategy. The methodological approach adopted follows the... Continue Reading →

The International Science Council (ISC) recently published a guide for policy makers: Evaluating rapidly developing technologies including AI, large language models and beyond. This builds on high level principles already published from UNESCO, OECD, EU and UN etc.According to Peter Gluckman, ISC President, “In an era marked by rapid technological innovation and complex global challenges,... Continue Reading →

Project Innerspace GeoMap: Global Geothermal Resources Map. For those that are not aware, some exciting global data freely available to support geothermal exploration & development.According to Project Innerspace:"We aim to unlock global exponential growth of geothermal by facilitating the rapid transfer of resources, technologies, and know-how from the oil and gas industry toward geothermal energy... Continue Reading →

The talk I gave on applying artificial intelligence to geoscience documentation at the Geological Society of London last year is now on YouTube. I have added the link in the comments, it is from the 'Digital Geoscience' conference held in Burlington House on the 13th November 2023.It covers how we may use such techniques to... Continue Reading →

Excellent PhD thesis online from Athanasios Nathanail at Heriot-Watt University. Quite thought provoking for future possibilities using Machine Vision, Natural Language Processing and Neural Networks. Abstract Geological interpretations are always linked with interpretational and conceptual uncertainty, which is difficult to elicit and quantify, often creating unquantified risks for understanding the subsurface. The complexity and variability... Continue Reading →

Delighted my paper was accepted to the “Artificial Intelligence for Geological Modelling and Mapping” conference at the University of Exeter, May 22-23, 2024. The conference is organised by the Institute for Data Science and Artificial Intelligence (IDSAI). The title of my paper is “How can Natural Language Processing (NLP) support Geological Modelling and Mapping?”. #geology #geosciences #subsurface #artificialintelligence #naturallanguageprocessing #earthscience