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
All content for Breaking Math Podcast is the property of Autumn Phaneuf and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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
In this conversation, Dr. Christoph Bartneck discusses the intersection of swimming and computer science, exploring how mathematical patterns can enhance swim training. He introduces the concept of a formal swim markup language to improve data exchange and training efficiency. The discussion also delves into the visualization of swimming techniques, the importance of mental engagement in training, and the aesthetic appeal of mathematics. Christoph shares insights on the challenges of writing his book and his vision for creating a global community around swimming and mathematics.
Takeaways
* Programming languages can optimize swim training.
* There's a gap in literature between math and sports science.
* Data exchange in swimming training is challenging.
* Visualizing swimming techniques aids in understanding.
* Mathematical patterns can enhance training routines.
* Repetitive tasks in swimming can be likened to repetitive songs.
* Engagement in training is crucial for success.
*
Chapters
* 00:00 The Motivation Behind Swim Training Patterns
* 02:32 Intersection of Swimming and Computer Science
* 05:56 Challenges in Measuring and Documenting Swim Performance
* 09:32 The Role of Patterns in Swim Training
* 11:54 Mathematical Patterns and Their Application in Swimming
* 15:14 Exploring Repetitiveness in Music and Swim Training
* 18:08 Art Projects and Mathematical Patterns
* 21:13 Fermat's Theorem and Impossible Squares
* 23:14 Making Math Accessible in Swim Training
* 26:40 The Importance of a Shared Language in Coaching
* 27:35 Applying Pattern-Based Approaches to Sports
* 29:17 The Role of Structure in Training Across Sports
* 30:02 Current Use of Frameworks in Elite Swimming
* 30:10 Innovative Training Philosophies in Swimming
* 32:30 Programming Languages and Their Applications in Sports Science
* 34:56 The Joy of Writing and Creating
* 38:59 Challenges in Writing and Communicating Mathematical Concepts
* 41:37 The Journey of a Book and Community Engagement
Follow Christoph on his YouTube Channel and on bartneck.de.
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In this episode of Breaking Math, Autumn explores the complex world of AI ethics, focusing on its implications in education, the accuracy of AI systems, the biases inherent in algorithms, and the challenges of data privacy. The discussion emphasizes the importance of ethical considerations in mathematics and computer science, advocating for transparency and accountability in AI systems. Autumn also highlights the role of mathematicians in addressing these ethical dilemmas and the need for society to engage critically with AI technologies.
Takeaways
* AI systems can misinterpret student behavior, leading to false accusations.
* Bias in AI reflects historical prejudices encoded in data.
* Predictive analytics can help identify at-risk students but may alter their outcomes.
* Anonymization of data is often ineffective in protecting privacy.
* Differential privacy offers a way to share data while safeguarding individual identities.
* Ethics should be a core component of algorithm design.
* The impact of biased algorithms can accumulate over time.
* Mathematicians must understand both technical and human aspects of AI.
* Society must question the values embedded in AI systems.
* Small changes in initial conditions can lead to vastly different outcomes.
Chapters
* 00:00 Introduction to AI Ethics
* 02:14 The Accuracy and Implications of AI in Education
* 04:14 Bias in AI and Its Consequences
* 05:45 Data Privacy Challenges in AI
* 06:37 Mathematical Solutions for Ethical AI
* 08:04 The Role of Mathematicians in AI Ethics
* 09:42 The Future of AI and Ethical Considerations
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email: breakingmathpodcast@gmail.com
In this episode, we explore the intricate mathematics behind Sp0tify's (ok... and other's) shuffle feature, revealing how it is designed to feel random while actually being carefully curated. We discuss the psychological implications of randomness, the Fisher-Yates shuffle algorithm, and how engineers have created a system that respects human perception of randomness. The conversation delves into the philosophical aspects of curated randomness and the broader implications of mathematical principles in technology and human experience.
Takeaways
* The shuffle feature is not truly random.
* Humans struggle to recognize true randomness due to cognitive biases.
* The Fisher-Yates shuffle algorithm is a standard for randomization.
* Uses psychological techniques to enhance user satisfaction with shuffle.
* Dithering is a method used to create a perception of randomness.
* Shuffle feature analyzes multiple dimensions to optimize song selection.
* The algorithm incorporates noise to maintain unpredictability.
* Curated randomness is prevalent in various technologies beyond music.
* Humans prefer sequences with fewer clusters to feel more random.
* Mathematics can reveal insights into human behavior and preferences.
Chapters
00:00 The Hidden Mathematics of Spotify Shuffle
05:56 The Art of Psychological Randomness
07:58 Philosophical Implications of Curated Randomness
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This conversation explores the intricate relationship between mathematics and artificial intelligence (AI) for people who don't want to get too math heavy and want things simplified as much as possible. It delves into how algorithms, machine learning, and various mathematical tools like linear algebra, calculus, and statistics form the backbone of AI technologies. The discussion highlights real-world applications of AI, the ethical implications of its use, and the importance of mathematical literacy in an increasingly AI-driven world. Ultimately, it emphasizes that understanding the mathematical foundations of AI empowers individuals to engage meaningfully with technology and its impact on society.
Takeaways:
* Mathematics powers seemingly magical technologies like AI.
* Algorithms are sets of instructions that guide AI processes.
* Machine learning finds patterns in data through trial and error.
* Linear algebra organizes data into vectors and matrices.
* Calculus helps AI find optimal solutions to problems.
* Probability theory allows AI to express uncertainty in predictions.
* AI applications include medical diagnostics and financial algorithms.
* Self-driving cars use mathematics to navigate and make decisions.
* Mathematical literacy is crucial in an AI-driven world.
* Understanding AI's math gives individuals agency in technology.
Chapters:
00:00 The Mathematical Heart of AI
03:28 Mathematics in Action: Real-World Applications
05:33 Empowerment Through Understanding Mathematics
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This conversation delves into the intersection of quantum computing and cryptography, focusing on the implications of quantum computers for current encryption methods and the necessity for post-quantum cryptography. Dr. Dustin Moody from NIST discusses the threats posed by quantum computing, particularly through Shor's algorithm, and the ongoing efforts to develop new cryptographic standards that can withstand these threats. The discussion also covers the role of NIST in standardizing post-quantum algorithms, the mathematical challenges involved, and the importance of preparing businesses for the transition to these new systems.
All opinions are of the individual scientist and do not reflect the opinions of NIST or the federal Government.
Takeaways
* Quantum computers harness principles of quantum physics for computation.
* Shor's algorithm can efficiently factor large numbers, threatening RSA encryption.
* Post-quantum cryptography aims to develop algorithms resistant to quantum attacks.
* NIST is leading the effort to standardize post-quantum cryptographic algorithms.
* Lattice-based algorithms are promising for post-quantum cryptography due to their efficiency.
* Businesses must be proactive in transitioning to post-quantum cryptography.
* The Harvest Now, Decrypt Later threat highlights the urgency of transitioning.
* Quantum key distribution offers theoretically perfect security.
* Different cryptographic algorithms are needed for various applications and devices.
* The future of cryptography will rely on new mathematical challenges to ensure security.
Keywords
quantum computing, cryptography, post-quantum cryptography, NIST, cybersecurity, Shor's algorithm, digital signatures, lattice-based algorithms, encryption, quantum threats
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email: breakingmathpodcast@gmail.com
In this episode, Autumn interviews Dr. Ileana Pazos, an expert in dosimetry, discussing the critical role of radiation measurement in various industries, including healthcare and food safety. They explore the science behind dosimetry, the applications of radiation, the challenges faced in accurate measurements, and the misconceptions surrounding food irradiation. Ileana emphasizes the importance of public education and the need for global standards in radiation measurement, while also sharing her personal connection to the field and the future of radiation technologies.
All opinions are of the individual scientist and do not reflect the opinions of NIST or the federal Government.
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email: breakingmathpodcast@gmail.com
In this conversation, Dr. Elizabeth Strychalski discusses the fascinating field of synthetic biology, particularly focusing on synthetic cells. She shares her journey into this research area, the challenges of defining life, and the ethical considerations surrounding synthetic biology. The conversation also explores the potential applications of synthetic cells in environmental science and medicine, as well as the importance of engineering standards and biomanufacturing for sustainability. Dr. Strychalski emphasizes the need for collaboration and communication in the scientific community to advance this field responsibly and effectively.
All opinions are of the individual scientist and do not reflect the opinions of NIST or the federal Government.
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email: breakingmathpodcast@gmail.com
In this episode of Breaking Math, hosts Autumn and Gabriel explore the innovative intersections of fire science and technology with experts Amy Mensch and Ryan Falkenstein-Smith who work at NIST. They discuss the groundbreaking photoacoustic technique for measuring soot deposition, its applications in fire safety and forensic investigations, and the broader implications for fire research. The conversation highlights the importance of integrating advanced technologies into firefighting and the potential for future developments in the field.
You can learn more about Time at time.gov and NIST at nist.gov.
All opinions are of the individual scientist and do not reflect the opinions of NIST or the federal Government.
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email: breakingmathpodcast@gmail.com
In this episode of Breaking Math, Autumn and Andrew Novick delve into the intricate world of timekeeping, exploring the significance of precise time measurement in modern technology. They discuss the evolution from traditional atomic clocks to cutting-edge optical clocks, the critical role of time in various industries, and the implications of time on fundamental physics, including Einstein's theories. The conversation also touches on the quirky concept of leap seconds and the future advancements in timekeeping technology, emphasizing the relative nature of time and its perception.
You can learn more about Time at time.gov and NIST at nist.gov.
All opinions are of the individual scientist and do not reflect the opinions of NIST or the federal Government.
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Summary
This episode of Breaking Math explores the fundamental concept of measurement, its importance in daily life, and the necessity for standardized units. The discussion highlights the role of the International System of Units (SI) and the National Institute of Standards and Technology (NIST) in maintaining measurement accuracy. It also touches on historical measurement failures and the evolution of measurement definitions, emphasizing the future of measurement in technology and science.
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email: breakingmathpodcast@gmail.com
In this episode, Dr. Destine Nock, CEO of Peoples Energy Analytics and a Professor at Carnegie Mellon University, joins Autumn to dive deep into the world of energy equity. They explore how cutting-edge data analytics are revolutionizing the landscape of affordable energy access. As the global demand for sustainable energy solutions continues to grow, the need to ensure fair and inclusive energy distribution becomes more critical than ever. Together, our hosts break down how data-driven insights are being leveraged to develop and implement policies that make energy more accessible to underserved communities, tearing down socioeconomic barriers and paving the way for a more equitable future.
Dr. Nock and Autumn discuss the powerful role that advanced analytics play in everything from analyzing consumption patterns to optimizing renewable energy distribution. They explore real-world case studies, highlight key initiatives, and speak with experts who are at the forefront of these transformative efforts. By the end of this episode, you'll understand how strategic use of data can drive lasting change and help us build a world where energy is not a privilege but a right accessible to all.
Subscribe to Breaking Math wherever you get your podcasts.
Become a patron of Breaking Math [https://www.patreon.com/breakingmath] for as little as a buck a month
Follow Dr. Destenie Nock on LinkedIn [https://www.linkedin.com/in/desdes/] and on her website [https://destenienock5.wixsite.com/destenienock]. Check out Peoples Energy Analytics [https://www.peoplesenergyanalytics.com/] as well.
Follow Breaking Math on Twitter [https://x.com/breakingmathpod], Instagram [https://www.instagram.com/breakingmathmedia/], LinkedIn [https://www.linkedin.com/company/breaking-math/], Website [https://breakingmath.io/], YouTube [https://www.youtube.com/@BreakingMathPod], TikTok [https://www.tiktok.com/@breakingmathmedia]
Follow Autumn on Twitter [https://x.com/1autumn_leaf] and Instagram [https://www.instagram.com/1autumnleaf/]
Follow Gabe on Twitter [https://x.com/TechPodGabe].
Become a guest here [https://www.breakingmath.io/contact]
email: breakingmathpodcast@gmail.com
In this captivating episode of Breaking Math, hosts Gabriel and Autumn dive deep into chaos theory—a fascinating branch of mathematics that explores the behavior of complex systems highly sensitive to initial conditions. They break down the butterfly effect, revealing how tiny variations can lead to major consequences and discuss the inherent unpredictability in weather forecasting and the financial markets. The episode also uncovers chaos theory's influence on human physiology, such as heart rate variability, and the mathematical beauty of fractals. Additionally, the hosts explore philosophical viewpoints, emphasizing how accepting life's uncertainties can foster adaptability and resilience.
Key Takeaways:
Chaos Theory: Small actions can trigger significant outcomes, impacting everything from nature to human-made systems.
Butterfly Effect: Demonstrates how tiny differences in initial conditions can lead to vastly different outcomes.
Weather Forecasting: An excellent real-world illustration of chaos theory, showing how unpredictable weather can be.
Financial Markets: A reminder of the chaotic, complex forces that drive economic shifts and unpredictability.
Human Physiology: Chaos theory sheds light on natural processes, like the variability of heart rhythms.
Fractals: These intricate patterns showcase self-similarity and are visually striking examples of chaos in nature.
Philosophical Implications: Embracing chaos and uncertainty equips us to be more adaptable and creative.
Life's Unpredictability: A reflection of chaotic systems, reminding us to value flexibility. Interconnectedness: Understanding chaos theory enhances our appreciation of how interwoven our world truly is.
Keywords: Chaos Theory, Butterfly Effect, Weather Forecasting, Economics, Fractals, Unpredictability, Complex Systems, Human Physiology, Philosophical Implications, Adaptability.
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In this episode of Breaking Math, we dive deep into the transformative power of large language models (LLMs) like GPT-4 in the fields of chemistry and materials science, based on the article "14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon" by Jablonka et al. from the Digital Discovery Journal. Discover how AI is revolutionizing scientific research with predictive modeling, lab automation, natural language interfaces, and data extraction from research papers. We explore how these models are streamlining workflows, accelerating discovery, and even reshaping education with personalized AI tutors.
Tune in to learn about real-world examples from a hackathon where scientists used LLMs to tackle some of the most pressing challenges in materials science and chemistry—and what this means for the future of scientific innovation.
Keywords: GPT-4, large language models, AI in chemistry, AI in materials science, predictive modeling, lab automation, AI in education, natural language processing, LLM hackathon, scientific research, molecular properties, Digital Discovery Journal, Jablonka
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In this episode of Breaking Math, we explore the unexpected link between sheep herding and fluid dynamics! Did you know that the way sheep move in a herd is governed by the same mathematical principles as water flowing in a river? By following simple rules of alignment, cohesion, and separation, sheep create a coordinated, fluid-like movement that scientists can model to predict behavior.
Join us as we break down how these principles apply not only to animal herds but also to real-world applications like robotics, autonomous vehicles, and crowd management. Whether you're a math lover, curious about animal behavior, or fascinated by the science behind traffic flow, this episode reveals the incredible power of mathematics in nature. Don't forget to subscribe for more insights into the surprising connections between math and the world around us!
Timestamps:
00:00 - Introduction to Sheep Herding and Fluid Dynamics
02:15 - What is Fluid Dynamics?
06:30 - How Sheep Behave Like Particles in a Fluid
10:45 - Mathematical Models of Herding Behavior
16:20 - Real-world Applications: From Farming to Robotics
20:55 - Conclusion & Key Takeaways
Tags: #BreakingMath #FluidDynamics #AnimalBehavior #MathInNature #SheepHerding #Robotics #ScienceExplained #EmergentBehavior
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In this exciting episode of Breaking Math, we explore the groundbreaking discovery of the largest prime number ever found—M136279841, a Mersenne prime with over 41 million digits! Join us as we dive deep into the story behind this astonishing mathematical achievement, led by Luke Durant, a volunteer from the Great Internet Mersenne Prime Search (GIMPS) project.
Discover how Mersenne primes work, why they're so important to the world of mathematics, and how cutting-edge technology like GPUs has revolutionized the search for these massive numbers. We also discuss the critical role that prime numbers play in cryptography and online security, making this discovery relevant far beyond just the realm of theoretical mathematics.
Learn about the global collaborative effort that made this record-breaking discovery possible, and find out how you can join the hunt for the next giant prime! Whether you're a math enthusiast, a tech geek, or just curious about the wonders of numbers, this episode is packed with insights that will inspire you to think about prime numbers in a whole new way.
Key Takeaways:
* The discovery of M136279841, a prime number with 41,024,320 digits.
* The role of Luke Durant and the GIMPS project in pushing the boundaries of prime number research.
* How GPUs are transforming the way we discover massive primes.
* The importance of prime numbers in modern cryptography and technology.
* The connection between Mersenne primes and perfect numbers.
Links Mentioned:
* Join the GIMPS project and search for the next prime: www.mersenne.org/download [http://www.mersenne.org/download]
* Learn more about Mersenne primes: Mersenne Prime History [http://www.mersenneforum.org/]
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In this episode of Breaking Math, hosts Gabriel Hesch and Autumn Phaneuf dive into the cutting-edge world of Generative Flow Networks (GFlowNets) and their role in artificial intelligence and material science. The discussion centers on how GFlowNets are revolutionizing the discovery of new materials for carbon capture, offering a powerful alternative to traditional AI models. Learn about the mechanics of GFlowNets, their advantages, and the groundbreaking results in developing materials with enhanced CO2 absorption capabilities. The episode also explores the future potential of GFlowNets in AI-driven material discovery and beyond, emphasizing their transformative impact on carbon capture technology and sustainable innovation.
Become a patron of Breaking Math [https://www.patreon.com/breakingmath] for as little as a buck a month
You can find the paper "Discovery of novel reticular materials for carbon dioxide capture using GFlowNets" by Cipcigan et al [https://pubs.rsc.org/en/content/articlelanding/2024/dd/d4dd00020j] in Digital Discovery Journal [https://x.com/digital_rsc] by the Royal Society of Chemistry [https://x.com/RoySocChem].
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email: breakingmathpodcast@gmail.com
Explore the intriguing intersection of science and spiritualism in the Victorian era. This episode uncovers how prominent scientists like Michael Faraday, William James, and Marie & Pierre Curie engaged with supernatural phenomena and the rise of spiritualism. Discover the scientific efforts to debunk or understand paranormal activities, and how these investigations shaped modern science. Dive into the fascinating legacy of this 19th-century movement and its lasting impact on today's scientific inquiries into the unknown. Perfect for fans of history, science, and the supernatural.
Keywords: Victorian era, spiritualism, science, supernatural, Michael Faraday, William James, Alfred Russell Wallace, Curies, Eleanor Sidgwick, idiomotor effect
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Become a guest here [https://www.breakingmath.io/contact]
email: breakingmathpodcast@gmail.com
AI & Consciousness: Philosophical Debates, Ethical Implications & the Future of Conscious Machines
In this episode of Breaking Math, hosts Autumn and Gabriel explore the intricate relationship between artificial intelligence (AI) and consciousness. Delve into historical perspectives, philosophical debates, and the ethical questions surrounding the creation of conscious machines. Key topics include the evolution of AI, challenges in defining and testing consciousness, and the potential rights of AI beings. We also examine the Turing Test, the debate between strong AI vs. weak AI, and concepts like personhood and integrated information theory. Perfect for anyone interested in AI ethics, the nature of consciousness, and the responsibilities of advanced AI technology.
Keywords: AI, consciousness, Turing test, strong AI, weak AI, ethics, philosophy, personhood, integrated information theory, neural networks
Become a patron of Breaking Math [https://www.patreon.com/breakingmath] for as little as a buck a month
Follow Breaking Math on Twitter [https://x.com/breakingmathpod], Instagram [https://www.instagram.com/breakingmathmedia/], LinkedIn [https://www.linkedin.com/company/breaking-math/], Website [https://breakingmath.io/], YouTube [https://www.youtube.com/@BreakingMathPod], TikTok [https://www.tiktok.com/@breakingmathmedia]
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email: breakingmathpodcast@gmail.com
In this episode of Breaking Math, hosts Autumn and Gabriel take a deep dive into the paper "Towards Equilibrium Molecular Conformation Generation with GFlowNets" by Volokova et al., published in the Digital Discovery Journal by the Royal Society of Chemistry. They explore the cutting-edge intersection of molecular conformations and machine learning, comparing traditional methods like molecular dynamics and cheminformatics with the innovative approach of Generative Flow Networks (GFlowNets) for molecular conformation generation.
The episode covers empirical results that showcase the effectiveness of GFlowNets in computational chemistry, their scalability, and the role of energy estimators in advancing fields like drug discovery. Tune in to learn how machine learning is transforming the way we understand molecular structures and driving breakthroughs in chemistry and pharmaceuticals.
Keywords: molecular conformations, machine learning, GFlowNets, computational chemistry, drug discovery, molecular dynamics, cheminformatics, energy estimators, empirical results, scalability, math, mathematics, physics, AI
Become a patron of Breaking Math [https://www.patreon.com/breakingmath] for as little as a buck a month
You can find the paper "Towards equilibrium molecular conformation generation with GFlowNets" by Volokova et al [https://pubs.rsc.org/en/content/articlepdf/2024/dd/d4dd00023d]in Digital Discovery Journal [https://x.com/digital_rsc] by the Royal Society of Chemistry [https://x.com/RoySocChem].
Follow Breaking Math on Twitter [https://x.com/breakingmathpod], Instagram [https://www.instagram.com/breakingmathmedia/], LinkedIn [https://www.linkedin.com/company/breaking-math/], Website [https://breakingmath.io/], YouTube [https://www.youtube.com/@BreakingMathPod], TikTok [https://www.tiktok.com/@breakingmathmedia]
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email: breakingmathpodcast@gmail.com
Mathematical Patterns in Plants: Fibonacci, Golden Ratio & Nature's Hidden Math with Christophe Gole & Nancy Pick
In this episode of Breaking Math, host Autumn interviews authors Christophe Gole and Nancy Pick about the captivating world of mathematical patterns in plants, inspired by their book Do Plants Know Math?. Explore the intersection of mathematics and biology as they discuss the Fibonacci sequence, the golden ratio, and spiral formations that reveal nature's mathematical beauty. Learn about the optimization of plant structures, the role of women in mathematics, and get recommendations for further reading. Topics include phyllotaxis, fractals, and their connections to AI, physics, and topology.
Keywords: mathematics, biology, plant math, Fibonacci, phylotaxis, spirals, golden ratio, fractals, nature, science, women in math,topology, ai, physics, math, plants, gardening
Become a patron of Breaking Math [https://www.patreon.com/breakingmath] for as little as a buck a month
You can connect with Christophe Gole [https://www.linkedin.com/in/christophe-gol%C3%A9-bb11a624/] and Nancy Pick [https://www.linkedin.com/in/nancy-pick-035bb814/] on LinkedIn, and find their Book "Do Plants Know Math?" on Amazon. [https://amzn.to/3XTEO2P]
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Become a guest here [https://www.breakingmath.io/contact]
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:
* 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
