India is steadily carving a formidable position in the global mining landscape, particularly in rare earth elements (REE), positioning itself as a key player in strategic minerals vital for advanced ...

The research, led by a multidisciplinary Flatiron team of clinicians, research scientists, and machine learning engineers, demonstrates the power of large language models (LLMs) to accurately and ...

Building extraction from remote sensing images is a longstanding topic in land use analysis and applications of remote sensing. Variations in shape and appearance of buildings, occlusions and other ...

This study provides a practical approach for fast-screening DESs with properties suitable for critical metal extraction, integrating quantum chemical calculations, and machine learning (ML) ...

Continuous building footprint extraction requires learning new building patterns from remote sensing imagery without forgetting old knowledge. It is inherently challenging due to the spatial layout ...

In this work, we compiled a wealth of solvent extraction literature data and built machine learning (ML) models capable of predicting the organic phase nitric acid equilibrium concentration from ...

By leveraging Lidar and aerial-image digital surface models with deep learning, a Finnish study has explored different data combinations that enhance building detection accuracy in rural and urban ...

Building safer cities with AI: Machine learning model enhances urban resilience against liquefaction It provides contour maps that show the depth of soil bearing layers, helping city planners ...