Zero: The Climate Race Best of: Searching for climate solutions amid the AI hype
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Mar 27, 2025 Priya Donti, an MIT professor and co-founder of Climate Change AI, dives into the dual nature of artificial intelligence in addressing climate change. She discusses how AI can improve weather forecasting and optimize power grids, showcasing projects around the globe that strive for environmental sustainability. However, Donti also highlights concerns about AI's energy consumption and ethical implications. The need for equitable access to AI technology and collaboration between experts is crucial in harnessing its potential for climate solutions.
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Defining AI
- AI can be defined as systems performing complex tasks, split into rule-based systems and machine learning.
- Rule-based systems use predefined rules, while machine learning infers rules from data examples.
Rule-Based vs. Machine Learning
- Deep Blue beating Garry Kasparov in 1997 exemplifies a rule-based AI system, showcasing AI's long history.
- Machine learning excels where intuition is present but hard to codify into rules, like image recognition.
Mangrove Restoration Project
- Climate Change AI funds a project using satellite imagery to assess Indonesian aquaculture farms.
- They aim to identify farms that can intensify farming in one area while conserving mangroves in another.