Math's Paths [rebroadcast]

Big Picture Science

Science, Technology

4.6 • 986 Ratings

🗓️ 6 February 2023

⏱️ 53 minutes

🔗️ Recording | iTunes | RSS

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Summary

If you bake, you can appreciate math’s transformative properties. Admiring the stackable potato chip is to admire a hyperbolic sheet. Find out why there’s no need to fear math - you just need to think outside the cuboid. Also, how nature’s geometric shapes inspire the next generation of squishy robots and an argument for radically overhauling math class. The end point of these common factors is acute show that’s as fun as eating Pi. Guests: Eugenia Cheng – Scientist in Residence at the School of the Art Institute in Chicago, tenured at the School of Mathematics and Statistics at the University of Sheffield, and author of “How to Bake Pi” Shankar Venkataramani – Professor of math at the University of Arizona Steven Strogatz – Professor of applied mathematics at Cornell University and author of “Infinite Powers: How Calculus Reveals the Secrets of the Universe” Daniel Finkel – Mathematician and founder and director of operations at “Math for Love” Originally aired July 15, 2019 Featuring music by Dewey Dellay and Jun Miyake Big Picture Science is part of the Airwave Media podcast network. Please contact [email protected] to inquire about advertising on Big Picture Science. You can get early access to ad-free versions of every episode by joining us on Patreon. Thanks for your support! Learn more about your ad choices. Visit megaphone.fm/adchoices

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0:56.5	All lowercase. That's Shopify dot co-deekk slash special offer. Some of the students around here are figuring out how to use artificial intelligence to solve problems related to space weather.
1:18.0	So we can use Bayesian statistics to determine the error bars for our estimate.
1:23.0	The integration problem is going to be really hard for that.
1:25.0	We're going to need to introduce some complex variables into the problem.
1:29.0	By the sarcastic properties of this measure does not allow us to do that.
1:32.0	Now, someone eavesdropping on this
1:34.2	conversation might not really understand these mysterious mathematical
1:38.6	mutterings, they're puzzling, perplexing, and indistinguishable from nonsense.
	...

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