Nature of Intelligence, Ep. 4: Babies vs Machines

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16d ago 38:37

MP3•Αρχική οθόνη επεισοδίου

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

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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