Over the last few years, the rise of artificial intelligence has been reshaping many areas of our lives. From healthcare to law, from self-driving cars to self-written novels, AI promises to transform our relationship with the world and remodel our interactions with our fellow human beings. In the area of climate research, AI is proving to be a powerful tool. In particular, the use of AI to develop powerful predictive models – even for such elusive and seemingly random phenomena as precipitations – can provide scientists and policy makers with tools that can help mitigate the effects of climate change and generate strategies to adapt to its consequences.
In order to better understand how exactly AI can improve climate models and empower climate scientists to respond to the threat of global warming, Vis A Vis is honored to welcome Pierre Gentine, Professor in the department of Earth and Environmental Engineering at Columbia University.
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Pierre Gentine is also the director of the NSF Science and Technology Center “Learning the Earth with Artificial intelligence and Physics” (LEAP) and a director of the Graduate Program in Earth and Environmental Engineering. Dr. Gentine and his group investigate the multiscale nature of the continental hydrologic and carbon cycle, with observations, models and machine learning.
Credits
Host: Dr. Emmanuel Kattan
Editor and Producer: Monica Beatrice Hunter-Hart
Producer: Georgia O’Neil