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Extreme heat and rising sea levels, exacerbated by climate change, pose significant threats to coastal regions. These challenges jeopardize critical infrastructure, ecosystems, and human livelihoods, leading to economic losses and increased costs for protective measures. Artificial Intelligence (AI) and Large Language Models (LLMs) present innovative solutions to enhance resilience and adaptation strategies for affected communities.
AI can be leveraged for predictive risk modeling, infrastructure optimization, and resource management, providing actionable insights for policymakers. By utilizing machine learning algorithms, real-time monitoring, and climate scenario generation, AI can help mitigate the impacts of extreme heat and coastal hazards. This approach empowers communities to better prepare for and respond to climate-related challenges.
• AI enhances resilience against climate threats through predictive modeling and resource management.
• AI-driven early warning systems improve community preparedness for extreme weather events.
AI refers to the simulation of human intelligence in machines, enabling predictive modeling and risk assessment.
LLMs are AI systems designed to understand and generate human language, aiding in data interpretation and communication.
Predictive modeling uses statistical techniques to forecast future events based on historical data, crucial for assessing climate risks.
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