Researchers at The University of Texas at Austin and Cognizant AI Labs have developed an AI-driven system that leverages 175 years of global land use and carbon storage data to generate optimal environmental policy strategies. The AI model, backed by Project Resilience and AI for Good, balances complex trade-offs to maximize carbon storage, minimize economic disruption, and improve everyday life. By employing evolutionary AI, the system refines policy recommendations through iterative optimization, uncovering surprising strategies for sustainable land management and climate action.
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