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Page de couverture de Algorithms at Work

Algorithms at Work

Auteur(s): Brian Christian, Tom Griffiths
Narrateur(s): Brian Christian, Tom Griffiths
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  • Résumé

  • In this highly intoxicating original series, researchers Brian Christian and Tom Griffiths, authors of the best-selling smash hit, Algorithms to Live By, tackle some of the biggest ideas in computer science today - and, in the process, illuminate cutting-edge ways of understanding how we live, work and play.

    They take us inside a tomato factory where no one has a job title to shed new light on decentralized network structures; visit an Olympic fencer to explore the game theory of when to make the first move; and tour the birthplace of the internet, a buzzing laboratory on the border of France and Switzerland, to examine the true - and truly human - limits to what a network of nearly one million machines can achieve.

    Along the way, they interview key figures in the world of computer science - from Google's Vice President of Infrastructure Eric Brewer to ‘the godfather of distributed systems’ Leslie Lamport - plus preeminent neuroscientists, sociologists, and even the co-founder of Instagram.

    Algorithms at Work is a playful and deeply inquisitive exploration of the overlapping questions of computer science and society. The result is six episodes that examine the world in unexpected and memorable ways.
    ©2022 Audible Originals, LLC (P)2022 Audible Originals, LLC
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Épisodes
  • Algorithms at Work Trailer

    Algorithms at Work Trailer
    Jan 27 2022
    In this highly intoxicating original series, researchers Brian Christian and Tom Griffiths, authors of the best-selling smash hit, Algorithms to Live By, tackle some of the biggest ideas in computer science today - and, in the process, illuminate cutting-edge ways of understanding how we live, work and play.

    They take us inside a tomato factory where no one has a job title to shed new light on decentralized network structures; visit an Olympic fencer to explore the game theory of when to make the first move; and tour the birthplace of the internet, a buzzing laboratory on the border of France and Switzerland, to examine the true - and truly human - limits to what a network of nearly one million machines can achieve.

    Along the way, they interview key figures in the world of computer science - from Google's Vice President of Infrastructure Eric Brewer to ‘the godfather of distributed systems’ Leslie Lamport - plus preeminent neuroscientists, sociologists, and even the co-founder of Instagram.

    Algorithms at Work is a playful and deeply inquisitive exploration of the overlapping questions of computer science and society. The result is six episodes that examine the world in unexpected and memorable ways.
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    1 min
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  • Episode 1: Distributed Systems - Working Together

    Episode 1: Distributed Systems - Working Together
    Feb 10 2022
    An introduction to how multi-machine systems can help us with multi-person challenges in our relationships, organizations, and world.
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    46 min
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  • Episode 2: Queuing Theory - Waiting Better

    Episode 2: Queuing Theory - Waiting Better
    Feb 10 2022
    A look at the math and psychology of lines.
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    40 min
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Gestion et leadership Réussite personnelle
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Ce que les auditeurs disent de Algorithms at Work

Moyenne des évaluations de clients
Au global
  • 5 out of 5 stars
  • 5 étoiles
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Performance
  • 5 out of 5 stars
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Histoire
  • 5 out of 5 stars
  • 5 étoiles
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  • 4 étoiles
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  • 2 étoiles
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  • 1 étoile
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  • Au global
    5 out of 5 stars
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Image de profil pour Daniel Gonzalez

As good as the books!

As good and insightful as the books, too bad its only 6 episodes, As I would easily include this podcast into my morning routine.

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  • Au global
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Histoire
    5 out of 5 stars
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  • h
  • 2022-04-13

Really enjoyable podcast!

I recently finished listening to the full audiobook from these authors, which I enjoyed. This series is done in much the same style, where they look at different algorithms and how they can be applied to everyday life. I really liked the fact that they have various interview with the creators of the algorithms or experts in specific fields, as well as music and sound effects to help explain the topics. Overall a great listen!

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