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🗓️ 7 April 2025
⏱️ 38 minutes
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0:34.7 | Welcome to the AI Energy and Climate Podcast, a special series from the DSR Network hosted by David Sandalow, inaugural fellow at Columbia University's Center on Global Energy Policy. |
0:47.3 | Join us as we talk with leading experts to explore the intersection between these critical issues that will impact the future of each and every one of us. |
0:55.0 | This podcast is sponsored in part by Nido, the new energy and industrial technology development organization, a national research |
1:13.1 | and development agency in Japan. |
1:20.1 | Welcome to the AI Energy and Climate Podcast. I'm David Sandalow. Several months ago, a group of |
1:26.0 | us released a 17-chapter report on how to use AI to help |
1:29.7 | fight climate change. We analyzed eight sectors, including the power sector, the manufacturing |
1:34.6 | sector, the building sector. We found that AI has the potential to help cut greenhouse gas emissions |
1:39.9 | in all of them. We looked at barriers to using AI, including barriers related to data, people, |
1:45.7 | and compute, and risks of using AI as well, which are very important. Our reports called the |
1:52.3 | artificial intelligence for climate change mitigation roadmap, and you can download it for |
1:56.9 | free or buy a print version on Amazon. We'll put details on how to do that in the show notes. |
2:04.0 | So one of the principal co-authors of our roadmap was Alp Kuchukalbier. He wrote several |
2:10.8 | chapters in the roadmap and played a key role in many more. Dr. Kuchelbergbier has a PhD in computer science from Yale, where his |
2:19.1 | dissertation won the Best Thesis Award. He's currently the chief scientist at Farrow Labs, a company |
2:25.3 | that provides industrial AI for process optimization. He and I are teaching a course together |
... |
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