Uploaded October 2024 | Updated September 2026, 3 weeks ago
Friday, September 27, 2024, 12:30-3 PM ET | Climate Week at Columbia Engineering | Inaugural lecture in Columbia Engineering's Lecture Series in AI
ABOUT THE LECTURE
AI has been revolutionizing many areas of science from protein unfolding to tumor detection. Over the last five years, fluid dynamics and weather forecasting have witnessed such a revolution and AI-based models are starting to be adopted for near real-time weather forecasting. Even though several groups have made important progress for applications of AI to long-term climate projections, a revolution is not yet within reach yet is crucial so that our societies can adapt to climate change.
We will present some of the roadblocks in climate modeling and opportunities to import some of the pillars of the AI revolution to climate modeling. With these developments that require innovation on the algorithmic side, an AI revolution for climate might be within reach.
ABOUT THE SPEAKER
Pierre Gentine
Director, National Science Foundation Science and Technology Center (STC) Learning the Earth with Artificial Intelligence and Physics (LEAP); Maurice Ewing and J. Lamar Worzel Professor of Geophysics, Departments of Earth and Environmental Engineering and Earth and Environmental Sciences, Columbia University
Pierre Gentine investigates the continental hydrologic cycle using multi scale modeling and big data (machine learning, remote sensing, high-resolution turbulent simulations) in the context of rising CO2 concentrations. Gentine hopes to answer questions such as what will be the future of droughts and extreme dryness/precipitations, and how will they impact agricultural production? He received his undergraduate degree from SupAéro, the French National Aeronautical and Space Engineering School in Applied Mathematics in Toulouse, France. He obtained a MSc and PhD in civil and environmental engineering from Massachusetts Institute of Technology (MIT) in 2006 and 2010, respectively. He joined the faculty of the Department of Applied Mathematics and Applied Physics at Columbia Engineering in 2010.
ABOUT THE COLUMBIA ENGINEERING LECTURE SERIES IN AI
Columbia Engineering's Lecture Series in AI explores the most cutting-edge topics in artificial intelligence and brings to campus thinkers and leaders who are shaping tomorrow’s technology landscape in a wide variety of fields. Join us to unravel the complexities and possibilities of AI in today's rapidly evolving world.
Friday, September 27, 2024, 12:30-3 PM ET | Climate Week at Columbia Engineering | Inaugural lecture in Columbia Engineering's Lecture Series in AI
ABOUT THE LECTURE
AI has been revolutionizing many areas of science from protein unfolding to tumor detection. Over the last five years, fluid dynamics and weather forecasting have witnessed such a revolution and AI-based models are starting to be adopted for near real-time weather forecasting. Even though several groups have made important progress for applications of AI to long-term climate projections, a revolution is not yet within reach yet is crucial so that our societies can adapt to climate change.
We will present some of the roadblocks in climate modeling and opportunities to import some of the pillars of the AI revolution to climate modeling. With these developments that require innovation on the algorithmic side, an AI revolution for climate might be within reach.
ABOUT THE SPEAKER
Pierre Gentine
Director, National Science Foundation Science and Technology Center (STC) Learning the Earth with Artificial Intelligence and Physics (LEAP); Maurice Ewing and J. Lamar Worzel Professor of Geophysics, Departments of Earth and Environmental Engineering and Earth and Environmental Sciences, Columbia University
Pierre Gentine investigates the continental hydrologic cycle using multi scale modeling and big data (machine learning, remote sensing, high-resolution turbulent simulations) in the context of rising CO2 concentrations. Gentine hopes to answer questions such as what will be the future of droughts and extreme dryness/precipitations, and how will they impact agricultural production? He received his undergraduate degree from SupAéro, the French National Aeronautical and Space Engineering School in Applied Mathematics in Toulouse, France. He obtained a MSc and PhD in civil and environmental engineering from Massachusetts Institute of Technology (MIT) in 2006 and 2010, respectively. He joined the faculty of the Department of Applied Mathematics and Applied Physics at Columbia Engineering in 2010.
ABOUT THE COLUMBIA ENGINEERING LECTURE SERIES IN AI
Columbia Engineering's Lecture Series in AI explores the most cutting-edge topics in artificial intelligence and brings to campus thinkers and leaders who are shaping tomorrow’s technology landscape in a wide variety of fields. Join us to unravel the complexities and possibilities of AI in today's rapidly evolving world.
