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Algorithms at Work

著者: Brian Christian, Tom Griffiths
ナレーター: Brian Christian, Tom Griffiths
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  • サマリー

  • 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
    続きを読む 一部表示

あらすじ・解説

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
エピソード
  • Algorithms at Work Trailer
    2022/01/27
    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.
    続きを読む 一部表示
    1 分
  • Episode 1: Distributed Systems - Working Together
    2022/02/10
    An introduction to how multi-machine systems can help us with multi-person challenges in our relationships, organizations, and world.
    続きを読む 一部表示
    46 分
  • Episode 2: Queuing Theory - Waiting Better
    2022/02/10
    A look at the math and psychology of lines.
    続きを読む 一部表示
    40 分

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