Congratulations to all those that took part in the first subsurface Large Language Model (LLM) Hackathon last week using data from the UK, Norway and The Netherlands government repositories. The event coincided with the anniversary 1 year ago of the launch of ChatGPT. This is an area where the first practical deployments of LLM's are... Continue Reading →

I've now publicly shared the deep learning model to detect ammonites which you can use on a Smartphone. This was built by labelling 300 images of ammonites (over 800 annotations in total) using Datature's platform free trial version. See my previous posts for more details. It is meant as a bit of fun to perhaps... Continue Reading →

I believe this may be the first research published on what geoscientists think of Generative AI responses. The experiment tested the impact of enriching text chunks generated from 100 public domain geoscience reports using Retrieval Augmented Generation (RAG). The tagging had the effect of influencing the top text chunk candidates from the vector database used... Continue Reading →

Enjoyed opening the SPDM conference today which runs for three days. Sharing some models used in today's Society of Professional Data Managers (SPDM) conference. Bloom's taxonomy for educational outcomes was created in the 1950's and is still used in teaching today. After learning we have to remember, understand, apply in new situations, analyse - compare... Continue Reading →

Looking forward to sharing some exciting new developments in Digital Geoscience at the British Computer Society this Wednesday. There is so much geological and subsurface knowledge buried in documentation we need new ideas and approaches to further exploit this information using AI. This can support the #energytransition #mining #oilandgas #renewableenergy to support #netzero targets, mitigation of #geohazards and #geotechnical support of construction. The British Computer Society Information Retrieval... Continue Reading →

Fantastic first day at the Digital Geoscience conference at the Geological Society of London. Insightful presentations from the British Geological Survey, Government Office for Science , Arup, AtkinsRéalis, VRGeoscience Limited, Earth Science Analytics AS, University of Exeter and University of Cambridge . I presented on the application of AI to Geoscience Documentation. Also some fascinating posters ranging from Carbon Storage and Water AI to nuclear waste... Continue Reading →

Inspired by Isaac Asimov's Three Laws of Robotics from the 1940's. I've applied these to Data Management in a world of Frontier AI. This is to provoke debate and discussion in a light hearted way in what is a fast moving emerging field. The first law is about the governance of Data Management (including documents... Continue Reading →

Towards more meaningful Generative AI: There’s more to understanding language than just statistics. More meaningful answers and summaries can be generated by automatically pre-labelling document text chunks with entities and thematic topics before the vector cosine similarity step to feed organisational content to Large Language Models (LLM). As with Google-like searches, when there are vast amounts... Continue Reading →

I'll be giving a talk on Artificial Intelligence applied to Geoscience Information, at the British Computer Society Search Solutions event on the 22nd November in London. There is an excellent programme with other topics including: The dangers of using LLM's by Professor Julie Weeds (University of Sussex), Using AI tools for discovery by Hong Zhou (Wiley Scientific)... Continue Reading →