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    interdisciplinary learning

    Explore "interdisciplinary learning" with insightful episodes like "Active vs. Passive Learning" and "Trailblazing Computer Scientist Fei-Fei Li on Human-Centered AI" from podcasts like ""The Morgan Housel Podcast" and "Short Wave"" and more!

    Episodes (2)

    Active vs. Passive Learning

    Active vs. Passive Learning

    There are two big ways to learn: 

    Active learning: Someone tells you what to learn, how to learn it, on a set schedule, on pre-selected standardized topics.

    Passive learning: You let your mind wander with no intended destination. You read and learn broadly, talk to people from various backgrounds, and stumble haphazardly across topics you had never considered but spark your curiosity, often because it’s the topic you happen to need at that specific time of your life.

    I can’t be alone in realizing that most of what I’ve learned in life has come from passive learning.

    Trailblazing Computer Scientist Fei-Fei Li on Human-Centered AI

    Trailblazing Computer Scientist Fei-Fei Li on Human-Centered AI
    AI is popping up everywhere nowadays. From medicine to science to the Hollywood strikes. Today, with computer scientist and AI pioneer Fei-Fei Li, we dig deeper into the history of the field, how machines really learn and how computer scientists take inspiration from the human brain in their work. Li's new memoir The Worlds I See traces the history of her move to the U.S. from China as a high school student and her coming-of-age with AI.

    Host Regina G. Barber talks to Li about her memoir, where the field may be going and the importance of centering humans in the development of new technology.

    Got science to share? Email us at shortwave@npr.org.

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