20,000 Kilometers of Code: AI's Secret Voyage Across The Ocean
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AI & Environment Resource HubShaolei Ren · 2023-11-30
AI drives scientific progress and business growth but depends on vast data and computational resources, raising sustainability concerns.
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Shaolei Ren. 2023-11-30. How Much Water Does AI Consume? The Public Deserves to Know. https://oecd.ai/en/wonk/how-much-water-does-ai-consume (AI & Environment Resource Hub; record paper-006; collection snapshot 2026-10-04).
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Source sheet: Scientific Paper · Row 10 · Original ID: paper-006.
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Shared topics: Water; Oceans and coasts
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Shared topics: Water; Oceans and coasts
Severe flash floods in Charikar, Afghanistan, on August 26, 2020, were driven by extreme atmospheric instability, deep low-level convergence, and local topography, with climate change intensifying frontal activity and baroclinicity in the region.
Shared topics: Water; Oceans and coasts
A machine learning framework was developed to efficiently parametrize large-scale hydrogeologic models by learning the relationship between water table depth and hydraulic conductivity from a small number of simulations, enabling realistic predictions with significantly reduced computational cost.
Shared topics: Water; Oceans and coasts
This study introduces a new foundation model based on the Prithvi-EO Vision Transformer, pre-trained on Sentinel-3 ocean color data, to enhance marine Earth observation. By fine-tuning on chlorophyll and primary production tasks, the model outperforms traditional baselines, showing that self-trained AI can extract detailed spatial patterns from limited labeled data and improve monitoring of ocean ecosystems and climate processes.