Automated tabular extraction enhances efficiency in compiling Sm-Nd isotope data from geoscientific literature.
Integrating ambient noise tomography (ANT) and artificial intelligence (AI) enhances mineral exploration efficiency and accuracy.
Geoscience foundation models revolutionize data analysis and prediction in Earth sciences through versatile multimodal capabilities and formal geoscience knowledge representations.
The author proposes using rigid transformations to stabilize lower dimensional space for subsurface datasets, enabling unique solutions invariant to Euclidean transformations and supporting out-of-sample points.