Use of GenAI methods to create photorealistic satellite imagery analogues from seismic attribute maps

Interesting use of GenAI methods to create photorealistic satellite imagery analogues from seismic attribute maps as a visual aid for depositional environment models in seismic interpretation.Ramdani et al (2024) conclude, “Conditional Generative Adversarial Network utilized as a method to convert seismic attribute maps into photorealistic virtual satellite image renditions of the modern analog. This virtual... Continue Reading →

Welsh Trilobites

I came across an old photo I took 35 years ago of the fossil Trilobite ‘Paradoxides’ in Wales, UK. As a national fossil for Wales, this might be a candidate. Some of the largest Trilobites ever found came from the dark mudstone deposits from an ancient sea in Wales, of Middle Cambrian age approx 500... Continue Reading →

The Bubble Effect: Focusing only on your geoscience disciplinary session at a conference may miss 44% of the 10 most relevant contributions.

The Bubble Effect: Focusing only on your geoscience disciplinary session at a conference may miss 44% of the 10 most relevant contributions. This may therefore pose a risk of missing geoscience contributions addressing similar problems from a different perspective presented outside their own sessions.Interesting paper from Sodoge et al (2024) using Natural Language Processing (NLP)... Continue Reading →

World’s First Peer-Reviewed Paper on Artificial Intelligence (AI) Ethics in the Geological Sciences with a focus on Language Models.

Delighted my paper on AI Ethics in the Geological Sciences has been published today in the peer reviewed open access Journal of Geoethics and Social Geosciences!AbstractArtificial Intelligence (AI) offers many opportunities for the geosciences to improve productivity, reduce uncertainty in models and stimulate discovery of new knowledge. There are also risks to geoscience, from the... Continue Reading →

NASA’s Geospatial Artificial Intelligence foundation model (V2)

Expanded AI Model with Global Data Enhances Earth Science Applications: NASA have released V2 of the open-source Prithvi Geospatial Artificial Intelligence foundation model with global data to support a broader range of geographical applications. These include tracking changes in land use, monitoring disasters, and predicting crop yields worldwide. Previous use cases of V1 included post-disaster flood... 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/

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