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Mineral exploration gets artificial intelligence boost
1+ day, 14+ 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…...
GAO Finds DOW Face Barriers to Using Commercial Space Data
1+ week, 5+ day ago (18+ words) The U.S. Space Force spent $76.8 million on commercial space data and services through the Global Data Marketplace....
China uses AI to map Earth’s deep mantle
1+ week, 5+ day ago (374+ words) Deep beneath Earth’s surface, at a depth of nearly 2,900 kilometers, the mantle gives way to the liquid outer core. The dynamics of these extreme depths influence tectonic plate movements and contribute to earthquakes and volcanic eruptions. Yet directly studying these…...
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, 17+ 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…...
C-DAC, GSI Join Hands to Boost Mineral Exploration with AI and HPC
1+ mon, 1+ week ago (14+ words) Devdiscourse...
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…...