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Exploring the Role of Machine Learning in Solving the Climate Crisis - Opportunities, Challenges, and Successes

Toronto Machine Learning Series (TMLS) via YouTube

Overview

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Explore the potential of machine learning in addressing the climate crisis through this insightful panel discussion featuring experts in the field. Gain valuable insights into the opportunities, challenges, and successes of applying AI and ML technologies to climate action, mitigation, and adaptation. Discover how cutting-edge research is being used to predict wildfires and hurricanes, leverage NLP techniques for impactful financial decisions accelerating climate mitigation, and employ machine learning to track and manage supply chain greenhouse gas emissions. Learn from industry leaders and researchers as they share their experiences and perspectives on the intersection of AI and climate change, covering topics such as nature-based solutions, predictive maintenance, e-mobility, microgrid optimizations, and the hydrogen value chain. Understand the potential of AI to decouple economic growth from rising carbon emissions and environmental degradation, and explore the latest advancements in climate modeling and disaster response.

Syllabus

Exploring the Role of ML in Solving the Climate Crisis Opportunities, Challenges, and Successes

Taught by

Toronto Machine Learning Series (TMLS)

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