• Nature of Intelligence, Ep. 4: Babies vs Machines

  • 2024/11/06
  • 再生時間： 39 分
  • ポッドキャスト

Nature of Intelligence, Ep. 4: Babies vs Machines

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  • サマリー

  • Guests:

    • Linda Smith, Distinguished Professor and Chancellor's Professor, Psychological and Brain Sciences, Department of Psychological and Brain Sciences, Indiana University Bloomington
    • Michael Frank, Benjamin Scott Crocker Professor of Human Biology, Department of Psychology, Stanford University

    Hosts: Abha Eli Phoboo & Melanie Mitchell

    Producer: Katherine Moncure

    Podcast theme music by: Mitch Mignano

    Follow us on:
    Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky

    More info:

    • Tutorial: Fundamentals of Machine Learning
    • Lecture: Artificial Intelligence
    • SFI programs: Education

    Books:

    • Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell

    Talks:

    • Why "Self-Generated Learning” May Be More Radical and Consequential Than First Appears by Linda Smith
    • Children’s Early Language Learning: An Inspiration for Social AI, by Michael Frank at Stanford HAI
    • The Future of Artificial Intelligence by Melanie Mitchell

    Papers & Articles:

    • “Curriculum Learning With Infant Egocentric Videos,” in NeurIPS 2023 (September 21)
    • “The Infant’s Visual World The Everyday Statistics for Visual Learning,” by Swapnaa Jayaraman and Linda B. Smith, in The Cambridge Handbook of Infant Development: Brain, Behavior, and Cultural Context, Chapter 20, Cambridge University Press (September 26, 2020)
    • “Can lessons from infants solve the problems of data-greedy AI?” in Nature (March 18, 2024), doi.org/10.1038/d41586-024-00713-5
    • “Episodes of experience and generative intelligence,” in Trends in Cognitive Sciences (October 19, 2022), doi.org/10.1016/j.tics.2022.09.012
    • “Baby steps in evaluating the capacities of large language models,” in Nature Reviews Psychology (June 27, 2023), doi.org/10.1038/s44159-023-00211-x
    • “Auxiliary task demands mask the capabilities of smaller language models,” in COLM (July 10, 2024)
    • “Learning the Meanings of Function Words From Grounded Language Using a Visual Question Answering Model,” in Cognitive Science (First published: 14 May 2024), doi.org/10.1111/cogs.13448
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あらすじ・解説

Guests:

  • Linda Smith, Distinguished Professor and Chancellor's Professor, Psychological and Brain Sciences, Department of Psychological and Brain Sciences, Indiana University Bloomington
  • Michael Frank, Benjamin Scott Crocker Professor of Human Biology, Department of Psychology, Stanford University

Hosts: Abha Eli Phoboo & Melanie Mitchell

Producer: Katherine Moncure

Podcast theme music by: Mitch Mignano

Follow us on:
Twitter • YouTube • Facebook • Instagram • LinkedIn • Bluesky

More info:

  • Tutorial: Fundamentals of Machine Learning
  • Lecture: Artificial Intelligence
  • SFI programs: Education

Books:

  • Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell

Talks:

  • Why "Self-Generated Learning” May Be More Radical and Consequential Than First Appears by Linda Smith
  • Children’s Early Language Learning: An Inspiration for Social AI, by Michael Frank at Stanford HAI
  • The Future of Artificial Intelligence by Melanie Mitchell

Papers & Articles:

  • “Curriculum Learning With Infant Egocentric Videos,” in NeurIPS 2023 (September 21)
  • “The Infant’s Visual World The Everyday Statistics for Visual Learning,” by Swapnaa Jayaraman and Linda B. Smith, in The Cambridge Handbook of Infant Development: Brain, Behavior, and Cultural Context, Chapter 20, Cambridge University Press (September 26, 2020)
  • “Can lessons from infants solve the problems of data-greedy AI?” in Nature (March 18, 2024), doi.org/10.1038/d41586-024-00713-5
  • “Episodes of experience and generative intelligence,” in Trends in Cognitive Sciences (October 19, 2022), doi.org/10.1016/j.tics.2022.09.012
  • “Baby steps in evaluating the capacities of large language models,” in Nature Reviews Psychology (June 27, 2023), doi.org/10.1038/s44159-023-00211-x
  • “Auxiliary task demands mask the capabilities of smaller language models,” in COLM (July 10, 2024)
  • “Learning the Meanings of Function Words From Grounded Language Using a Visual Question Answering Model,” in Cognitive Science (First published: 14 May 2024), doi.org/10.1111/cogs.13448
続きを読む 一部表示

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