About this episode
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
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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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