Send us a text In this episode of The Engineering Passion Express, we have a relaxed chat with Dale Rice, SOLIDWORKS Electrical Applications Engineer at GoEngineer, though despite the name, we weren't having drinks at all, we just didn't have a particular journey in mind when the conversation started. Dale has been supporting engineering companies for decades and has seen a tremendous amount of engineering, and he also is a good friend of mine. This is not a narrative episode, rather i...

Conversations, explorations, conjectures solved and unsolved, mathematicians and beautiful mathematics. No math background required.

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Structural engineering podcast by Max and Zach. Join in weekly as we discuss structural engineering topics and experiences for new engineers. TheEngineeringPodcast.com

Keep it casual with the Casual Inference podcast. Your hosts Lucy D'Agostino McGowan and Ellie Murray talk all things epidemiology, statistics, data science, causal inference, and public health. Sponsored by the American Journal of Epidemiology.

Cracking tales of historical mathematics and its interplay with science, philosophy, and culture. Revisionist history galore. Contrarian takes on received wisdom. Implications for teaching. Informed by current scholarship. By Dr Viktor Blåsjö.

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 [https://breakingmath.io/] Linktree: https://linktr.ee/breakingmathmedia Email: breakingmathpodcast@gmail.com

Mathematik anders erzählt. Wir stellen die Menschen hinter der Mathematik in den Mittelpunkt und erzählen ihre Geschichte. Es geht um Pistolenduelle, um die Revolution und die große Liebe, um einen Leserbrief-Shitstorm und Plagiate unter Freunden. Es gibt also jede Menge Drama! Dazu erklären wir in jeder Folge eine große Idee der Mathematik – so, dass sie jeder versteht. Das alles hört ihr jeden zweiten Mittwoch in “Geschichten aus der Mathematik” – ein detektor.fm-Podcast in Kooperation mit Spektrum der Wissenschaft.

We discuss seminal mathematical papers (sometimes really old 😎 ) that have shaped and established the fields of machine learning and data science as we know them today. The goal of the podcast is to introduce you to the evolution of these fields from a mathematical and slightly philosophical perspective. We will discuss the contribution of these papers, not just from pure a math aspect but also how they influenced the discourse in the field, which areas were opened up as a result, and so on. Our podcast episodes are also available on our youtube: https://youtu.be/wThcXx_vXjQ?si=vnMfs

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