AI Learns Geochemistry: New Explainable Model Targets Rare Earth Deposits
Researchers have developed EBGT, an explainable machine learning framework that embeds geochemical constraints into gradient-boosted trees to identify ion-adsorption rare ...
Tag: mineral exploration
Dual-Masked AI Learns to Find Hidden Mineral Deposits With Almost No Labels
A new dual-masked graph autoencoder called DM-GAE maps mineral prospectivity in Tibet with high accuracy despite scarce labeled deposits, outperforming ...
AI Looks Inside Itself: New Study Opens the Black Box of Deep Learning for Deep Ore Discovery
Researchers have combined GradientSHAP and 3D Contrast Grad-CAM to reveal how a 3D convolutional neural network identifies deep concealed orebodies ...
Scientists Decode the Physical Fingerprint of Titanium Ores to Supercharge Mineral Exploration
Integrated laboratory measurements at South Korea's Myeonsan titanium deposit show that density and induced polarization most reliably distinguish titanium-bearing ores ...
Self-Training AI Finds Hidden Mineral Deposits in Sparse Geochemical Data
A self-training LightGBM framework developed at Jilin University recognizes mineralization-related geochemical anomalies in Inner Mongolia using sparse labeled and vast ...
Graph-Based AI Finds Hidden Copper and Nickel Deposits with Almost No Training Data
A new label-scarce graph AI framework reliably detects deep, subtle mineralization anomalies at the Kalatongke copper-nickel deposit using only 906 ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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