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.

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

Join hosts Peter Littig and Noah King as they discuss and explain mathematical topics with their own unique style. Full of information that will interest and entertain math lovers as well as those who maybe don’t love it quite that much… yet. Mathematical concepts, history, paradoxes, and puzzles await you, along with a generous helping of witty banter and fun. Calling all members…. The Math Club is open! Email - mathclubpodcast@gmail.com Twitter - @mathclubpodcast

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

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.

In this month’s podcast, Ilka Agricola, a mathematician at the Phillips-Marburg University in Marburg, Germany, talks about the challenges mathematicians face while producing and using electronic scientific documents for research and teaching, especially in light of emerging technologies like Artificial Intelligence. She also talks about innovative actions in making mathematical content more accessible for the visually impaired, and shares insights into her journey in academia. Dr. Agricola i...

Historia de las matematicas

Desde la División Educativa de CASIO queremos compartir contigo nuestro CASIO Pódcast. Un nuevo canal de comunicación en el que conversaremos con personas relacionadas con las ciencias, las matemáticas, la docencia o la innovación pedagógica. Suena muy serio pero os aseguramos que todo esto lo haremos con el buen rollo que nos caracteriza, así que creemos que te vas a divertir.

Breve historia del inicio de la geometría

This is the official podcast feed of the Society of Actuaries

Декан факультета математики НИУ ВШЭ Александра Скрипченко берёт интервью у математиков, работающих в самых разных областях. На семинаре вы узнаете больше о том, где и как может реализовать себя математик от самих математиков, потому что "Математик знает лучше"!

Kyne Santos, a drag queen and mathematics educator living in Canada, is a big fan of the Fundamental Theorem of Calculus. Also hiking.

Math! Science! History! is about the history of people, theories, and discoveries that have moved our scientific progress forward and spurred us on to unimaginable discoveries. Join Gabrielle Birchak for a little math, a little science, and a little history. All in a little bit of time.

En este pequeño podcast encontrarás información acerca de los números, desde su evolución, hasta el cómo se representaban en las distintas civilizaciones que surgieron desde antes de cristo.

Definiremos el concepto de derivada y la velocidad, para pasar a comprender todo con un ejemplo explicado.

Hola, en este podcast oirás sobre los mayas, su sistema numérico y como fueron una civilización avanzada a su época.

Las matemáticas no siempre fueron aburridas. Si quieres descubrir cómo funciona el mundo a través de la teoría de números, el álgebra, la combinatoria y el cálculo... bienvenido!

In this AI research paper reading, we dive into "A Watermark for Large Language Models" with the paper's author John Kirchenbauer. This paper is a timely exploration of techniques for embedding invisible but detectable signals in AI-generated text. These watermarking strategies aim to help mitigate misuse of large language models by making machine-generated content distinguishable from human writing, without sacrificing text quality or requiring access to the model’s internals. Learn mo...

Math! Science! History! is about the history of people, theories, and discoveries that have moved our scientific progress forward and spurred us on to unimaginable discoveries. Join Gabrielle Birchak for a little math, a little science, and a little history. All in a little bit of time.