DeepMind Tackles Climate Change With AI

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.

Key challenges are lack of climate data and need to collaborate with domain experts to ensure solutions are useful.

Must consider and reduce carbon footprint of AI systems themselves.

AI's versatility and scalability could allow it to help solve climate problems quickly and at scale.

Safety considerations like working with experts to understand guardrails are important when applying AI to high-risk areas like nuclear fusion.