Help Support The Podcast by clicking on the links below:<ul> <li>Start YOUR podcast on ZenCastr!    <a href="https://zen.ai/1e7eBWWMLcSL_G10VxiSlQ">Use my special link  ZenCastr Discount</a> to save 30% off your first month of any Zencastr paid plan </li> <li>Visit our <a href="http://www.patreon.com/breakingmath">Patreon</a> </li></ul>Part 2/2 of the interview with Brit Cruise, creator of the YouTube channel "Art of the Problem," about interesting mathematics,, electrical and computer engineering problems. In Part 1, we explored what 'intelligence' may be defined as by looking for examples of brains and proto-brains found in nature (including mold, bacteria, fungus, insects, fish, reptiles, and mammals).  In Part 2, we discuss aritifical neural nets and how they are both similar different from human brains, as well as the ever decreasing gap between the two.  Brit's YoutTube Channel can be found here: <a href="https://youtube.com/@ArtOfTheProblem?si=xh7uyOwCUInqfWsC">Art of the Problem - Brit Cruise</a> Transcript will be made available soon! Stay tuned. You may receive a transcript by emailing us at breakingmathpodcast@gmail.com. Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support?utm_source=rss&utm_medium=rss&utm_campaign=rss">https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support</a>.

Help Support The Podcast by clicking on the links below: Start YOUR podcast on ZenCastr! Use my special link ZenCastr Discount to save 30% off your first month of any Zencastr paid plan Visit our Patreon Part 2/2 of the interview with Brit Cruise, creator of the YouTube channel "Art of the Problem," about interesting mathematics,, electrical and computer engineering problems. In Part 1, we explored what 'intelligence' may be defined as by looking for examples of brains and proto-brains found in nature (including mold, bacteria, fungus, insects, fish, reptiles, and mammals). In Part 2, we discuss aritifical neural nets and how they are both similar different from human brains, as well as the ever decreasing gap between the two. Brit's YoutTube Channel can be found here: Art of the Problem - Brit Cruise Transcript will be made available soon! Stay tuned. You may receive a transcript by emailing us at breakingmathpodcast@gmail.com. Become a supporter of this podcast: https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support.

Help Support The Podcast by clicking on the links below:<ul> <li>Start YOUR podcast on ZenCastr! &nbsp;&nbsp; <a href="https://zen.ai/1e7eBWWMLcSL_G10VxiSlQ" rel="noopener noreferrer">Use my special link &nbsp;ZenCastr Discount</a> to save 30% off your first month of any Zencastr paid plan </li> <li>Visit our <a href="http://www.patreon.com/breakingmath" rel="noopener noreferrer">Patreon</a> </li></ul>Part 2/2 of the interview with Brit Cruise, creator of the YouTube channel "Art of the Problem," about interesting mathematics,, electrical and computer engineering problems.&nbsp;In Part 1, we explored what 'intelligence' may be defined as by looking for examples of brains and proto-brains found in nature (including mold, bacteria, fungus, insects, fish, reptiles, and mammals).&nbsp; In Part 2, we discuss aritifical neural nets and how they are both similar different from human brains, as well as the ever decreasing gap between the two.&nbsp; Brit's YoutTube Channel can be found here: <a href="https://youtube.com/@ArtOfTheProblem?si=xh7uyOwCUInqfWsC" rel="noopener noreferrer">Art of the Problem - Brit Cruise</a> Transcript will be made available soon! Stay tuned. You may receive a transcript by emailing us at breakingmathpodcast@gmail.com. Become a supporter of this podcast: <a href="https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=rss" rel="noopener noreferrer">https://www.spreaker.com/podcast/breaking-math-podcast--5545277/support</a>.

84. (Part 2) Intelligence in Nature v. Machine Learning - an Interview with Brit Cruise

Breaking Math is a deep-dive science, technology, engineering, AI, and mathematics podcast that explores the world through the lens of logic, patterns, and critical thinking. Hosted by Autumn Phaneuf, an expert in industrial engineering, operations research and applied mathematics, and Gabriel Hesch, an electrical engineer (host from 2016-2024) with a passion for mathematical clarity, the show is dedicated to uncovering the mathematical structures behind science, engineering, technology, and the systems that shape our future.What began as a conversation about math as a pure and elegant discipline has evolved into a platform for bold, interdisciplinary dialogue. Each episode of Breaking Math takes listeners on an intellectual journey—whether it’s into the strange beauty of chaos theory, the ethical dilemmas of AI, the deep structures of biological evolution, or the thermodynamics of black holes. Along the way, Autumn and Gabriel interview leading thinkers and working scientists from across the spectrum: computer scientists, quantum physicists, chemists, philosophers, neuroscientists, and more.But this isn’t just a podcast about equations—it’s a show about how mathematics influences the way we think, create, build, and understand. Breaking Math pushes back against the idea that STEM belongs behind a paywall or an academic podium. It’s for the curious, the critical, the creative—for anyone who believes that ideas should be rigorous, accessible, and infused with wonder.If you've ever wondered:<ul> <li>What’s the math behind machine learning?</li> <li>How do we quantify uncertainty in climate models?</li> <li>Can consciousness be described in AI?</li> <li>Why does beauty matter in an equation?</li></ul>Then you’re in the right place.At its heart, Breaking Math is about building bridges—between disciplines, between experts and the public, and between the abstract world of mathematics and the messy, magnificent reality we live in. With humor, clarity, and deep respect for complexity, Autumn and Gabriel invite you to rethink what math can be—and how it can help us shape a better future.Listen wherever you get your podcasts. Website: <a href="https://breakingmath.io/">https://breakingmath.io</a> Linktree: <a href="https://linktr.ee/breakingmathmedia">https://linktr.ee/breakingmathmedia</a> Email: breakingmathpodcast@gmail.com

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Breaking Math is a deep-dive science, technology, engineering, AI, and mathematics podcast that explores the world through the lens of logic, patterns, and critical thinking. Hosted by Autumn Phaneuf, an expert in industrial engineering, operations research and applied mathematics, and Gabriel Hesch, an electrical engineer (host from 2016-2024) with a passion for mathematical clarity, the show is dedicated to uncovering the mathematical structures behind science, engineering, technology, and the systems that shape our future. What began as a conversation about math as a pure and elegant discipline has evolved into a platform for bold, interdisciplinary dialogue. Each episode of Breaking Math takes listeners on an intellectual journey—whether it’s into the strange beauty of chaos theory, the ethical dilemmas of AI, the deep structures of biological evolution, or the thermodynamics of black holes. Along the way, Autumn and Gabriel interview leading thinkers and working scientists from across the spectrum: computer scientists, quantum physicists, chemists, philosophers, neuroscientists, and more. But this isn’t just a podcast about equations—it’s a show about how mathematics influences the way we think, create, build, and understand. Breaking Math pushes back against the idea that STEM belongs behind a paywall or an academic podium. It’s for the curious, the critical, the creative—for anyone who believes that ideas should be rigorous, accessible, and infused with wonder. If you've ever wondered: What’s the math behind machine learning? How do we quantify uncertainty in climate models? Can consciousness be described in AI? Why does beauty matter in an equation?Then you’re in the right place. At its heart, Breaking Math is about building bridges—between disciplines, between experts and the public, and between the abstract world of mathematics and the messy, magnificent reality we live in. With humor, clarity, and deep respect for complexity, Autumn and Gabriel invite you to rethink what math can be—and how it can help us shape a better future. Listen wherever you get your podcasts. Website: https://breakingmath.io Linktree: https://linktr.ee/breakingmathmedia Email: breakingmathpodcast@gmail.com

Breaking Math is a deep-dive science, technology, engineering, AI, and mathematics podcast that explores the world through the lens of logic, patterns, and critical thinking. Hosted by Autumn Phaneuf, an expert in industrial engineering, operations research and applied mathematics, and Gabriel Hesch, an electrical engineer (host from 2016-2024) with a passion for mathematical clarity, the show is dedicated to uncovering the mathematical structures behind science, engineering, technology, and the systems that shape our future.What began as a conversation about math as a pure and elegant discipline has evolved into a platform for bold, interdisciplinary dialogue. Each episode of Breaking Math takes listeners on an intellectual journey—whether it’s into the strange beauty of chaos theory, the ethical dilemmas of AI, the deep structures of biological evolution, or the thermodynamics of black holes. Along the way, Autumn and Gabriel interview leading thinkers and working scientists from across the spectrum: computer scientists, quantum physicists, chemists, philosophers, neuroscientists, and more.But this isn’t just a podcast about equations—it’s a show about how mathematics influences the way we think, create, build, and understand. Breaking Math pushes back against the idea that STEM belongs behind a paywall or an academic podium. It’s for the curious, the critical, the creative—for anyone who believes that ideas should be rigorous, accessible, and infused with wonder.If you've ever wondered:<ul> <li>What’s the math behind machine learning?</li> <li>How do we quantify uncertainty in climate models?</li> <li>Can consciousness be described in AI?</li> <li>Why does beauty matter in an equation?</li></ul>Then you’re in the right place.At its heart, Breaking Math is about building bridges—between disciplines, between experts and the public, and between the abstract world of mathematics and the messy, magnificent reality we live in. With humor, clarity, and deep respect for complexity, Autumn and Gabriel invite you to rethink what math can be—and how it can help us shape a better future.Listen wherever you get your podcasts. Website: <a href="https://breakingmath.io/" rel="noopener noreferrer">https://breakingmath.io</a> Linktree: <a href="https://linktr.ee/breakingmathmedia" rel="noopener noreferrer">https://linktr.ee/breakingmathmedia</a> Email: breakingmathpodcast@gmail.com

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84. (Part 2) Intelligence in Nature v. Machine Learning - an Interview with Brit Cruise

84. (Part 2) Intelligence in Nature v. Machine Learning - an Interview with Brit Cruise

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