New GeoAI Framework Helps Cities Forecast and Map Future Traffic Congestion
NYU Tandon researchers have built a locally hosted GeoAI framework that combines LSTM traffic forecasting, hexagonal spatial mapping and a ...
NYU Tandon researchers have built a locally hosted GeoAI framework that combines LSTM traffic forecasting, hexagonal spatial mapping and a ...
Researchers have developed a reinforcement learning method that trains multimodal AI models to detect hateful and propagandistic memes in English ...
A multicenter study of 150 children with achondroplasia shows that an explainable stacked ensemble model outperformed classical penalized statistical methods ...
Researchers at the Norwegian University of Science and Technology have developed two new explainability methods that integrate transformer attention weights ...
A new study combines transfer learning, quantitative explainable AI, and drone-based tile-grid spray mapping to target pesticide application in pepper, ...
A new explainable deep learning framework segments marine biofouling at the pixel level, improving underwater inspection accuracy and structural health ...
A new opinion paper argues that artificial intelligence is transforming environmental geoscience research while threatening the field's empirical foundations through ...
Researchers at EPFL have developed MAGNETS, an inherently interpretable neural network that predicts continuous targets from time series by learning ...
An analysis of 31 US legal cases shows that medical AI harms patients across a web of stakeholders while existing ...
Researchers have developed an explainable multimodal machine-learning model that predicts with over 81 percent accuracy whether people with mild cognitive ...
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© 2025 Scienmag - Science Magazine