DeepMind Tackles Climate Change With AI
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DeepMind is using AI in 3 ways to address climate change better prediction/monitoring models, optimizing existing systems, and accelerating breakthrough science like nuclear fusion.
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Key challenges are lack of climate data and need to collaborate with domain experts to ensure solutions are useful.
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Must consider and reduce carbon footprint of AI systems themselves.
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AI's versatility and scalability could allow it to help solve climate problems quickly and at scale.
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Safety considerations like working with experts to understand guardrails are important when applying AI to high-risk areas like nuclear fusion.
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