Breaking Math Podcast

Breaking Math Podcast

By Autumn Phaneuf & Noah GiansiracusaScienceNatural SciencesMathematics
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Breaking Math Podcast episodes

  • 51: Episode "-2,0,1" (Bases; Exotic Bases)

    A numerical base is a system of representing numbers using a sequence of symbols. However, like any mathematical concept, it can be extended and re-imagined in many different forms. A term used occasionally in mathematics is the term 'exotic', which just means 'different than usual in an odd or quirky way'. In this episode we are covering exotic bases. We will start with something very familiar (viz., decimal points) as a continuation of our previous episode, and then progress to the more odd, such as non-integer and complex bases. So how can the base systems we covered last time be extended to represent fractional numbers? How can fractional numbers be used as a base for integers? And what is pi plus e times i in base i + 1?

    This episode is distributed under a CC BY-SA 4.0 license. For more information, visit CreativeCommons.org.

    [Featuring: Sofía Baca; Merryl Flaherty]

    Ways to support the show:

    Patreon 

    Become a monthly supporter at patreon.com/breakingmath



    35 min
  • 50: Episode "101" (Bases)

    Numbering was originally done with tally marks: the number of tally marks indicated the number of items being counted, and they were grouped together by fives. A little later, people wrote numbers down by chunking the number in a similar way into larger numbers: there were symbols for ten, ten times that, and so forth, for example, in ancient Egypt; and we are all familiar with the Is, Vs, Xs, Ls, Cs, and Ds, at least, of Roman numerals. However, over time, several peoples, including the Inuit, Indians, Sumerians, and Mayans, had figured out how to chunk numbers indefinitely, and make numbers to count seemingly uncountable quantities using the mind, and write them down in a few easily mastered motions. These are known as place-value systems, and the study of bases has its root in them: talking about bases helps us talk about what is happening when we use these magical symbols.

    55 min
  • War and Peace: Past, Present, Future- A discussion on Alex's Science Fiction Trilogy

    *Subscribe at youtube.com/turingrabbitholespodcast

    Alex and Gabe discuss Alex's Science Fiction Trilogy.  Starting in a fictional Nazi Youth Science Academy, three young children go on to accomplish great things and become great friends only to discover that one of them has Jewish ancestry.   Can their friendship survive this tumultuous time in our worlds history?   The three go on to become great scientists contributing to the fates of the major powers of the 20th and 21st centuries.   


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    1 hr 4 min
  • Violence, Poverty, Ignorance and a PhD in Physics

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    -Visit our Patreon at patreon.com/TuringRabbitHoles


    -Against the odds of experiencing domestic violence, ignorance, and poverty as a child, Alex goes on to earn his PhD in Physics and provides an much better life for his children than the one that he grew up in.   This is his story.    


    *The Turing Rabbit Holes Podcast may also be heard on Apple Podcasts, Google Podcasts, Stitcher, Spotify, or wherever podcasts are heard.  

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    Support this podcast: https://anchor.fm/breakingmathpodcast/support
    51 min
  • #BLACKOUTDAY2020
    #BLACKOUTDAY2020
    George Perry Floyd was murdered by police on May 25, 2020.
    Learn more on twitter or your favorite search engine by searching #BLACKOUTDAY2020
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    10 min
  • 49: Thinking Machines II (Techniques in Artificial Intelligence)
    Machines have been used to simplify labor since time immemorial, and simplify thought in the last few hundred years. We are at a point now where we have the electronic computer to aid us in our endeavor, which allows us to build hypothetical thinking machines by simply writing their blueprints — namely, the code that represents their function — in a general way that can be easily reproduced by others. This has given rise to an astonishing array of techniques used to process data, and in recent years, much focus has been given to methods that are used to answer questions where the question or answer is not always black and white. So what is machine learning? What problems can it be used to solve? And what strategies are used in developing novel approaches to machine learning problems? This episode is distributed under a CC BY-SA 4.0 license. For more information, visit CreativeCommons.org. For more Breaking Math info, visit BreakingMathPodcast.app [Featuring: Sofía Baca, Gabriel Hesch] References: https://spectrum.ieee.org/tag/history+of+natural+language+processing

    Ways to support the show:
    -Visit our Sponsors:       theGreatCoursesPlus.com/breakingmath Get a free month of the Great Courses Plus while supporting this show by clicking the link and signing up!         brilliant.org/breakingmath Sign up at brilliant.org, where breaking math listeners get a 20% off of a year's subscription of Brilliant Premium!
    Patreon Become a monthly supporter at patreon.com/breakingmath
    Merchandise Purchase a Math Poster on Tensor Calculus at our facebook store at facebook.com/breakingmathpodcast

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    58 min
  • 48: Thinking Machines (Philosophical Basis of Artificial Intelligence)

    Machines, during the lifetime of anyone who is listening to this, have advanced and revolutionized the way that we live our lives. Many listening to this, for example, have lived through the rise of smart phones, 3d printing, massive advancements in lithium ion batteries, the Internet, robotics, and some have even lived through the introduction of cable TV, color television, and computers as an appliance. All advances in machinery, however, since the beginning of time have one thing in common: they make what we want to do easier. One of the great tragedies of being imperfect entities, however, is that we make mistakes. Sometimes those mistakes can lead to war, famine, blood feuds, miscalculation, the punishment of the innocent, and other terrible things. It has, thus, been the goal of many, for a very long time, to come up with a system for not making these mistakes in the first place: a thinking machine, which would help eliminate bias in situations. Such a fantastic machine is looking like it's becoming closer and closer to reality, especially with the advancements in artificial intelligence. But what are the origins of this fantasy? What attempts have people made over time to encapsulate reason? And what is ultimately possible with the automated manipulation of meaning? All of this and more on this episode of Breaking Math. Episode 48: Thinking Machines References: * https://publicdomainreview.org/essay/let-us-calculate-leibniz-llull-and-the-computational-imagination * https://spectrum.ieee.org/tag/history+of+natural+language+processing https://en.wikipedia.org/wiki/Characteristica_universalis https://ourworldindata.org/coronavirus-source-data This episode is distributed under a CC BY-SA 4.0 license. For more information, visit CreativeCommons.org. [Featuring: Sofía Baca, Gabriel Hesch]

    Ways to support the show:

    Patreon Become a monthly supporter at patreon.com/breakingmath


    55 min
  • 47: Blast to the Past (Retrocausality)

    Time is something that everyone has an idea of, but is hard to describe. Roughly, the arrow of time is the same as the arrow of causality. However, what happens when that is not the case? It is so often the case in our experience that this possibility brings not only scientific and mathematic, but ontological difficulties. So what is retrocausality? What are closed timelike curves? And how does this all relate to entanglement?

    This episode is distributed under a CC BY-SA 4.0 license. For more information, visit CreativeCommons.org.


    [Featuring: Sofía Baca, Gabriel Hesch]

    30 min

About Breaking Math Podcast

From the publisher's feed

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.…

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