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Cornell University

Cornell AI4S Initiative

Artificial Intelligence for Sustainability

Current Projects

  • AI for Advanced Energy Storage Materials: Leveraging machine learning algorithms to accelerate the discovery of high-performance materials for batteries and fuel cells, focusing on optimizing material properties like conductivity and stability to improve energy storage efficiency.
  • AI-Driven Climate Models for Agriculture: Applying deep learning and climate modeling techniques to predict how climate change will impact crop yields, water usage, and pest patterns, providing farmers with adaptive strategies to mitigate these effects.
  • AI in Dairy and Livestock Decarbonization: Utilizing predictive modeling and sensor data to monitor livestock health, optimize feed, and reduce methane emissions in dairy and livestock systems, addressing the challenge of reducing greenhouse gases in the agriculture sector.
  • AI for Sustainable Hydropower and Aquaculture: Using optimization algorithms to model the trade-offs between hydropower production and aquaculture in ecosystems like the Amazon Basin, minimizing environmental disruption while maximizing renewable energy generation.