neural networks

OK computer: AI reaches human-level accuracy in fission track counting in apatite and mica

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Microscope images comparing human- and AI-identified fission tracks in two apatite grains with differing counting accuracy.

Researchers compared fission track counts made by a trained AI system (HALtracks 2D) with those of an expert human analyst using identical microscope images of apatite and mica samples. The AI matched human counts closely on clean, simple grains and performed comparably to the average expert even on more complex samples, though both struggled with … Read more…

Convolutional Neural Networks for Mineral Prospecting Through Alteration Mapping with Remote Sensing Data

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Traditional geological mapping methods, which rely on field observations and rock sample analysis, are inefficient for continuous spatial mapping of geological features such as alteration zones. Deep learning models such as convolutional neural networks (CNNs) have ushered in a transformative era in remote sensing data analysis. CNNs excel in automatically extracting features from image data … Read more…