AI Image-Generation Techniques Power a New Hourly Flood Forecasting Model
Penn State researchers adapted diffusion-based generative AI techniques from image generation to build an hourly flood forecasting model trained on ...
Penn State researchers adapted diffusion-based generative AI techniques from image generation to build an hourly flood forecasting model trained on ...
A new study in Earth's Future projects that climate change will boost European sorghum yields enough to replace roughly 90 ...
German researchers show that hyperspectral imaging combined with machine learning can distinguish parental and hybrid faba bean seeds, opening a ...
A new review argues that merging finite-element cardiac modeling, 3D-printed patient-specific phantoms, and artificial intelligence into digital–physical twins could reshape ...
A multi-year Texas study combining drone imaging, machine learning, and explainable AI shows that wheat yield is best predicted from ...
Researchers used weekly lead measurements in baby teeth and machine learning to reconstruct cord blood lead concentrations at birth, offering ...
Researchers have encoded a machine learning feature-selection problem directly into the geometry and laser control of neutral-atom Rydberg arrays, achieving ...
A new explainable machine learning framework combining EEG signals with clinical data distinguishes Alzheimer's disease from frontotemporal dementia with 89.8 ...
Experiments and machine learning reveal that grain boundary sliding governs the exceptional room-temperature ductility of an ultrafine-grained Mg–Li alloy, while ...
A new multiomics and machine learning study suggests the natural nucleoside uridine may ease pulmonary fibrosis by directly engaging MMP7 ...
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© 2025 Scienmag - Science Magazine