Tangible Computing

著者： Gareth & Andrew
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  • サマリー

  • The Tangible Computing podcast is about where computing meets the real world, from the fast and complex like controlling an engine, to imaging a patient or scheduling an airline. We want to trigger your curiosity by talking to the people behind the scenes of making the modern world happen, deepening your understanding of where computation plays a role in our everyday lives and motivating you to help engineer a better world.
    © 2024 Tangible Computing
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あらすじ・解説

The Tangible Computing podcast is about where computing meets the real world, from the fast and complex like controlling an engine, to imaging a patient or scheduling an airline. We want to trigger your curiosity by talking to the people behind the scenes of making the modern world happen, deepening your understanding of where computation plays a role in our everyday lives and motivating you to help engineer a better world.
© 2024 Tangible Computing
数学 物理学
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エピソード
  • Why Tangible Computing Season 2

    Why Tangible Computing Season 2
    2022/03/28

    Short conversation between Andrew and Gareth about the highlights of Season 1 (first 20 episodes) and the rational for the second season.
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    6 分
  • #20 Benno Broer: Quantum Processing Units

    #20 Benno Broer: Quantum Processing Units
    2022/02/18

    In this episode, we talk with Benno Broer, CCO of PASQAL, about what types of problems Quantum Computing will help solve.  We also dive deeper into what it takes to develop algorithms for quantum computers, what are the constraints, and how one can build a company around this.
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    52 分
  • #19 Vincent Warmerdam: Teaching People to Teach Machines to Understand

    #19 Vincent Warmerdam: Teaching People to Teach Machines to Understand
    2022/01/04

    Vincent Warmerdam is a research advocate at Rasa – we discuss some of the challenges of making good chatbots, such as different languages and mistaken intents. We also touch on the career path to a research advocate and the importance of labeling datasets for machine learning. 
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    46 分
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