Free Course on use of AI In Tackling Climate Change

Checkout these series of talks from "AI Summer School 2023" (organized by Climate Change AI) which target towards awareness on using AI in tackling climate change.

For Whom:
- Researchers, practitioners, and students interested in the intersection of AI and climate change.
- Professionals in AI, environmental science, transportation, agriculture, energy, and related fields.

Highlights:
- A 2-week long workshop focused on the role of AI in addressing climate change.
- Series of 12 comprehensive talks covering various applications of AI in climate science and environmental management.
- Discussions on both the positive impacts and environmental costs of AI systems.

Benefits:
- Gain insights into how AI can be utilized to tackle climate-related challenges.
- Learn about the advancements and innovations in AI for climate science, transportation, biodiversity, agriculture, energy systems, and more.
- Understand the direct environmental impacts of AI, including the climate impact of large model training and utilization.
- Explore the balance between AI innovation and its adverse environmental impacts.

Key Features:
- Introduction to Climate Change and AI: Overview of the intersection between AI and climate change.
- AI for Climate Science: Patterns, predictions, and data analysis in climate science.
- AI for Transportation: Addressing rising demands in transportation.
- AI for Biodiversity and Ecosystems: Conservation efforts using AI.
- AI for Agriculture, Forestry, and Land Use: Sustainable practices in agriculture and forestry.
- Monitoring and Predicting Climate Behaviors: Utilizing AI for climate monitoring and prediction.
- AI for Energy Systems: Generation and transfer of energy using AI.
- Disaster Management and Mitigation: AI's role in disaster preparedness and response.
- Sustainable Infrastructure Development: Building resilient and sustainable infrastructures with AI.
- Environmental Impact of AI Systems: Exploring the climate impact of AI innovations.