As the year enters its final month, I'd like to share some things I've learnt as a ‘Digital Champion’ volunteer at my local Age UK, Age UK Oxfordshire, this past year. Smartphones, Tablets and Computers, and their constant updates, can be overwhelming even to those of us that profess to know more than most about technology.What I... Continue Reading →
There is a public conversation occuring that will likely have profound implications for the ethics of Artificial Intelligence (AI) in the Geological Sciences for years to come.
There is a public conversation occuring that will likely have profound implications for the ethics of geoscience Artificial Intelligence (AI) for years to come. You can read about it in the Geoscientist Winter Edition published today, also online. https://geoscientist.online/sections/viewpoint/advancing-transparent-and-ethical-ai/
Google DeepMind report: A new golden age of discovery: Seizing the AI for Science Opportunity.
Google DeepMind report: A new golden age of discovery: Seizing the AI for Science opportunity. One in three postdocs now use large language models to help carry out literature reviews, coding, and editing.I recommend to anyone who wishes to understand more on how AI is and could impact science, or is developing AI policy, to... Continue Reading →
AI Based technology for analysis of mineral deposits.
AI-based technologies are transforming the analysis of mineral deposits as drilling gets deeper. Mining exploration is accelerating in Latin America due to the demand for minerals supporting the energy transition such as copper and lithium.Interesting article from Jane Bentham in Global Mining Review yesterday. One of the geoscientists she interviewed stated,“The incorporation of artificial intelligence,... Continue Reading →
Presentation of uncertainty in geoscience Large Language Models (LLM)
Presentation of uncertainty in geoscience Large Language Models (LLM) is likely to be an important part of ethical design. A factual dataset was open-sourced by Wei et al (2024) “SimpleQA” a few weeks ago containing over 4,300 generic factual questions and answers.One use of these data was to test the stated confidence of an LLM... Continue Reading →
What questions do people ask about geology (on Google)? Can this help us with our communication messages?
The most common questions people ask about geology on Google, which may help inform our communications. We can also look at TikTok and YouTube separately. Data can be exported as CSV.These are the high level ones in the sunburst diagram, but we can move down into sub-disciplines and sectors for more detail and nuance. For... Continue Reading →
Generative AI, Machine Learning and Analytics for Subsurface Energy
Looking forward to presenting at this Generative AI, Machine Learning and Analytics for Subsurface Energy event in a few weeks time. Delighted to be invited to join some of the industry’s most insightful voices on the topic.“Join us to learn how generative AI, Large Language Models, and machine learning are giving geoscientists and engineers the... Continue Reading →
Earthgenome – Earthindex for Earth Observation (EO).
Earthgenome's Earthindex looks an interesting way for earth observation as a no-code solution for detecting activities using satellite imagery. Such as illegal mining in the Amazon and Africa, undocumented waste sites in Indonesia, Dams along the river Tigris and Eurphrates, wheat fields in Ukraine, Solar Energy construction in the Mekong Basin etc. Supporting indigeneous communities... Continue Reading →
Global search trends related to natural disasters
Global search trends of disaster topics ‘Flooding’ (blue) and ‘Hurricanes’ (red) over the past 5 years. These data are from Google search trends.Relative popularity of natural disaster search queries appears to be increasing globally.Examining search data and trends may reveal some interesting phenomena. It reflects what is popular / of interest in parts of society... Continue Reading →
Rich results using Large Language Models on your own authoritative content
It can be relatively easy to create Large Language Model driven apps that exploit your own structured and unstructured data to produce rich results. This example is showing information on quarries in a certain area, combining data, text and geospatial information.One difference in this approach between using Google search and ChatGPT type approaches, is that... Continue Reading →