Weekly conversations about the energy transition from Wood Mackenzie.
This week, we are talking about artificial intelligence, machine learning, and many ways they can decarbonize the economy.
From optimizing buildings to modeling new industrial processes to better managing the grid, AI and machine learning are core to many technology strategies for addressing climate change.
So how, exactly, will they be implemented? And what problems can they solve?
With us is Priya Donti, a PHD student at Carnegie Mellon University. Her work is focused on machine learning, grid systems and climate change. She is also the co-chair of Climate Change AI, a group of academics and practitioners looking at machine learning as a decarbonization tool.
Want to share your opinion about the topic? Let us know on Twitter. Follow @InterchangeShow, @shaylekann & @stphn_lacey and send comments about the show.
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