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News
Mineral exploration gets artificial intelligence boost
1+ day, 20+ hour ago (407+ words) China unveiled geological mapping and mineral exploration systems powered by artificial intelligence technologies on Friday, marking a shift from decades of expert-driven fieldwork to more accurate, comprehensive and efficient data — and algorithm-based predictions. The two systems — AI-GeoMapping and AI-OreSeeking — were…...
Applied Sciences, Vol. 16, Pages 8812: Optimised Machine Learning for MASW-Based Zonation of Weak Alluvial Soils Using Anchor-Based SPT/SCPT Calibration
1+ week, 1+ day ago (433+ words) Weak alluvial soils are difficult to delineate where penetration-test data are sparse and stiffness varies rapidly with depth. This study presents a novel goal-attainment-optimised machine learning framework that combines multichannel analysis of surface waves (MASW) with anchor-based standard penetration test…...
P1-KAN: An Effective Kolmogorov-Arnold Network for Hydraulic Valley
2+ week, 1+ day ago (71+ words) A new artificial-intelligence architecture designed to handle the jagged, unruly mathematics of real-world systems has outperformed both conventional neural networks and established optimization software in a demanding test involving a French hydraulic valley. Called P1-KAN, the model is a new…...
Applied Sciences, Vol. 16, Pages 8360: Optimizing Machine Learning Models for Predicting Rock Cohesion and Angle of Internal Friction: A Comparative Study of Lithological Analysis, Robustness Assessment, and SHAP Explanations
3+ week, 23+ hour ago (501+ words) Rock cohesion (c) and angle of internal friction (φ) are core parameters for rock mass stability analysis and engineering design; however, traditional triaxial tests are costly and time-consuming, limiting their availability in preliminary engineering assessments. To address this limitation, this study…...
China launches geo-AI model for smarter mineral exploration
3+ week, 6+ day ago (290+ words) China on Friday unveiled an independently developed large language model tailored for geosciences, aiming to inject new AI-driven momentum into mineral resource exploration across complex terrains. Named "Congling AI GeoDiscovery", the model was officially launched in Kashgar, northwest China's Xinjiang…...
C-DAC, Geological Survey of India Join Hands to Boost Mineral Exploration and Disaster Management with AI - https://indianmasterminds.com
1+ mon, 1+ week ago (185+ words) Home » News » C-DAC, Geological Survey of India Join Hands to Boost Mineral Exploration and Disaster Management with AI New Delhi: The Centre for Development of Advanced Computing (C-DAC) under the Ministry of Electronics and Information Technology (MeitY) and the Geological…...
AI Links Mineral Chemistry and Geoscience Data to Guide Exploration
1+ mon, 1+ week ago (280+ words) From mineral composition and alteration signatures to subsurface physical properties, the review shows how AI can extract more value from materials-related evidence while exposing the gaps that still limit fully integrated exploration. The escalating global demand for minerals, especially critical…...
DMU research uses grey-fuzzy framework to tackle 'black box' problem in AI predictions of rock permeability
1+ mon, 1+ week ago (748+ words) Researchers at De Montfort University Leicester (DMU) have developed a new artificial intelligence framework that not only predicts how easily fluids can move through underground rock, but also indicates the reliability of each prediction. Led by Dr Ahmad Lawal, Lecturer…...