PT Inquest is an online journal club. Hosted by Jason Tuori, Megan Graham, and Chris Juneau, the show looks at an article every week and discusses how it applies to current physical therapy practice.
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Taming chaos with physics and AI
Manage episode 353241710 series 2427173
Content provided by JQI Podcast Editor and The Joint Quantum Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by JQI Podcast Editor and The Joint Quantum Institute or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In many situations, chaos makes it nearly impossible to predict what will happen next. Nowhere is this more apparent than in weather forecasts, which are notorious for their unreliability. But the clever application of artificial intelligence can help reign in some chaotic systems, making them more predictable than ever before. In this episode of Relatively Certain, Dina sits down with Michelle Girvan, a physics professor at the University of Maryland (UMD), to talk about how artificial intelligence can help predict chaotic behavior, as well as how combining machine learning with conventional physics models might yield even better predictions and insights into both methods.
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37 episodes
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Manage episode 353241710 series 2427173
Content provided by JQI Podcast Editor and The Joint Quantum Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by JQI Podcast Editor and The Joint Quantum Institute or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
In many situations, chaos makes it nearly impossible to predict what will happen next. Nowhere is this more apparent than in weather forecasts, which are notorious for their unreliability. But the clever application of artificial intelligence can help reign in some chaotic systems, making them more predictable than ever before. In this episode of Relatively Certain, Dina sits down with Michelle Girvan, a physics professor at the University of Maryland (UMD), to talk about how artificial intelligence can help predict chaotic behavior, as well as how combining machine learning with conventional physics models might yield even better predictions and insights into both methods.
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continue reading
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Similar to Relatively Certain
PT Inquest is an online journal club. Hosted by Jason Tuori, Megan Graham, and Chris Juneau, the show looks at an article every week and discusses how it applies to current physical therapy practice.
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How can we, humans, look at our relationship to nature differently? In season three of Going Wild, on top of stories about animals, we invite you to journey through the entire ecological web — from the tiniest of life forms to apex predators — alongside the scientists, activists and adventurers who study it. Wildlife biologist and host Dr. Rae Wynn-Grant has been studying wild animals in their natural habitats all over the world for years. Our award-winning podcast takes you inside the hidde ...
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Embedded is the show for people who love gadgets. Making them, breaking them, and everything in between. Weekly interviews with engineers, educators, and enthusiasts. Find the show, blog, and more at embedded.fm.
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Artificial Intelligence has suddenly gone from the fringes of science to being everywhere. So how did we get here? And where's this all heading? In this new series of Science Friction, we're finding out.
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