Scientific Paper · 2023-11-30
How Much Water Does AI Consume? The Public Deserves to Know
AI drives scientific progress and business growth but depends on vast data and computational resources, raising sustainability concerns.
ENVIRONMENTAL DOMAIN
Resilient places & systems
Weather and adaptation, the built environment, and mobility.
Browse all 865 resources →Counts reflect provisional metadata classification, not measured environmental impact. A record may belong to multiple topics.
Topics in this domain
Weather, hazards, and adaptation →
Weather prediction, extreme events, hazards, resilience, and adaptation.
330 resourcesBuilt environment and infrastructure →
Buildings, cities, infrastructure, and their environmental performance.
561 resourcesTransport and logistics →
Mobility, freight, transport, and logistics systems.
182 resourcesView this topic through four lenses
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Research papers and scholarly literature on impacts, applications, and methods.
Scientific Paper · 2024-12-01
Comparative Analysis of Artificial Intelligence Models for Real-Time and Future Forecasting of Environmental Conditions: A Wood-Frame Historic Building Case Study
Machine learning enhances real-time and future climate monitoring in historic buildings, aiding preservation efforts amid climate change.
Scientific Paper · 2024-12-04
Probabilistic Weather Forecasting with Machine Learning
GenCast, an ML-based weather model, outperforms traditional forecasts in accuracy and speed, enhancing weather prediction and risk assessment.
Scientific Paper · 2022-02-07
Tackling Climate Change with Machine Learning
Machine learning can help combat climate change by reducing emissions and aiding adaptation through applications like smart grids and disaster management.
What is missing from the metadata?
Missing metadata is a curation task, not evidence of absent research or activity. The Resource Hub does not currently contain a validated incident dataset, expert survey, or measurements of net environmental benefit.