Artificial Intelligence for Climate Resilience: Neural Networks and Big Data
In one sentence. Generic overview of neural networks and big data for climate resilience, covering modeling, disaster response and resource management, with no new technical results.
Abstract
Climate change poses significant challenges to global ecosystems, economies, and human societies. The integration of artificial intelligence (AI), particularly neural networks and big data analytics, offers promising solutions to enhance climate resilience. This article explores how AI, through advanced neural network models and big data, can be leveraged to predict, analyze, and mitigate the impacts of climate change. We discuss the role of AI in climate modeling, disaster response, and the optimization of resource management, highlighting how neural networks can process large datasets to offer real-time, data-driven insights for sustainable climate action.
Labels
- Topic
- Applications & impacts
- Type
- Review, survey or tutorial
- Method
- Other
- Domain
- Global
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.71465/ajainn277 OpenAlex:W7143870763
- Added
- 2026-10-22
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