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The paper presents NRFormer+, a spatio-temporal Transformer for forecasting nuclear radiation using atmospheric diffusion guidance, achieving state-of-the-art accuracy on two large-scale benchmarks from Japan.
This paper introduces AquaAugmentor, a novel feature augmentation algorithm to enhance the predictive performance of machine learning and deep learning models for water potability classification using chemical attributes.
This article discusses how AI can be directed toward ecological restoration and planetary health, highlighting applications like ecosystem mapping and precision reforestation while acknowledging the energy and resource costs of AI itself.
World Resources Institute announces Canopy Height Maps v2, an open-source model and associated world-scale maps designed for mapping global forests with greater precision.
DeepMind announces new AI research applications for conservation, including a high-resolution deforestation risk model, species distribution mapping using Graph Neural Networks, and updates to the Perch bioacoustics model.