MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
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Ecopia AI and Nearmap Launch Off-the-Shelf Advanced Transportation Feature Data Across North America
High-precision transportation intelligence, powered by Nearmap high-recency aerial imagery and Ecopia's AI feature extraction, delivers decision-ready geospatial context at scale SALT LAKE CITY, Jan.
Officials are using geospatial artificial intelligence and machine learning technology to help tackle all sorts of public ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
Abstract: Sustainable land-use planning and catastrophe risk reduction depend critically on landslide susceptibility mapping. The complex, nonlinear interconnections of environmental and human ...
The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with machine-learning models, can reliably estimate Cambodia’s GDP growth in near ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
From a practical lens and audience-first perspective, the featured program reveals how modern approaches in geospatial analysis turn information into tangible results for places and people.
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
Environmental sustainability involves utilizing natural resources without compromising future needs and requires balancing ecological, social, and economic goals (Hariram et al., 2023). Growing global ...
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