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    Summary of Kai-Fu Lee's AI Superpowers
    Summary of Kai-Fu Lee's AI Superpowers
    Summary of Kai-Fu Lee's AI Superpowers
    Ebook52 pages29 minutes

    Summary of Kai-Fu Lee's AI Superpowers

    By IRB Media

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    About this ebook

    Please note: This is a companion version & not the original book.

    Book Preview: #1 In May 2017, a Chinese teenager named Ke Jie was pitted against one of the world’s most intelligent machines, AlphaGo, in a battle to save humanity.

    #2 When the Soviet Union launched the first human-made satellite into orbit in October 1957, it had an instant and profound effect on the American psyche and government policy. The event sparked widespread U. S. public anxiety about perceived Soviet technological superiority, which led to the creation of the National Aeronautics and Space Administration.

    #3 In China, the government issued a plan to build artificial intelligence capabilities. It called for greater funding, policy support, and national coordination for AI development. By 2017, Chinese venture-capital investors had already responded to that call, pouring record sums into artificial intelligence startups.

    #4 The Ke Jie versus AlphaGo match was played within the constraints of a Go board, but it is intimately tied up with dramatic changes in the real world. Those changes include the Chinese AI frenzy that AlphaGo’s matches sparked.

    LanguageEnglish
    PublisherIRB Media
    Release dateMar 16, 2022
    ISBN9781669363774
    Summary of Kai-Fu Lee's AI Superpowers
    Author

    IRB Media

    With IRB books, you can get the key takeaways and analysis of a book in 15 minutes. We read every chapter, identify the key takeaways and analyze them for your convenience.

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      Book preview

      Summary of Kai-Fu Lee's AI Superpowers - IRB Media

      Insights on Kai-Fu Lee's AI Superpowers

      Contents

      Insights from Chapter 1

      Insights from Chapter 2

      Insights from Chapter 3

      Insights from Chapter 4

      Insights from Chapter 5

      Insights from Chapter 6

      Insights from Chapter 7

      Insights from Chapter 8

      Insights from Chapter 9

      Insights from Chapter 1

      #1

      In May 2017, a Chinese teenager named Ke Jie was pitted against one of the world’s most intelligent machines, AlphaGo, in a battle to save humanity.

      #2

      When the Soviet Union launched the first human-made satellite into orbit in October 1957, it had an instant and profound effect on the American psyche and government policy. The event sparked widespread U. S. public anxiety about perceived Soviet technological superiority, which led to the creation of the National Aeronautics and Space Administration.

      #3

      In China, the government issued a plan to build artificial intelligence capabilities. It called for greater funding, policy support, and national coordination for AI development. By 2017, Chinese venture-capital investors had already responded to that call, pouring record sums into artificial intelligence startups.

      #4

      The Ke Jie versus AlphaGo match was played within the constraints of a Go board, but it is intimately tied up with dramatic changes in the real world. Those changes include the Chinese AI frenzy that AlphaGo’s matches sparked.

      #5

      The threat to jobs is coming far faster than most experts anticipated, and it will not discriminate by the color of one’s collar, instead striking the highly trained and poorly educated alike.

      #6

      I believe that the skillful application of artificial intelligence will be China’s greatest opportunity to catch up with and possibly surpass America. But more important, this shift will create an opportunity for all people to rediscover what makes us human.

      #7

      Artificial intelligence has undergone a number of boom-and-bust cycles. The field was dominated by the rule-based approach, which attempted to teach computers to think by encoding a series of logical rules. However, this approach fell apart when the universe of possible choices or moves expanded.

      #8

      The neural networks camp, which mimics the brain’s underlying architecture, attempts to reconstruct the human brain itself. They feed millions of examples of a given phenomenon into the networks and let the networks figure out patterns.

      #9

      Deep learning, a technique that uses neural networks to train the network, was developed in the mid-2000s. It allowed neural networks to outperform older models at a variety of tasks. But years of ingrained prejudice against the neural networks approach led many

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