MIT Develops AI Model to Predict Extreme Weather Without Historical Data

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MIT engineers have created a machine-learning algorithm that generates plausible extreme weather scenarios by leveraging physical principles rather than relying on historical extreme event data. This tool forecasts characteristics such as duration, intensity, and impact area for rare events like hurricanes and heat waves, enhancing preparedness especially in regions with limited weather records.

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