| Dan Jurafsky: How AI is changing our understanding of language
A linguist and computer scientist explores how AI is expanding from capturing individual words and sentences to modeling the social nature of language.
Coronavirus illustrations win Symbol of the Year Vote for 2020
STANFORD, CA - Affiliates of the Symbolic Systems Program at Stanford University have chosen illustrations of the SARS-CoV-2 virus as the Symbol of the…
Barwise Award: Stephanie Niu ('19) and Darian Martos ('19)
Congratulations to Symbolic Systems graduates Stephanie Niu ('19, M.S. Computer Science '20) and Darian Martos ('19), who are each recipients this year of the Symbolic Systems Program's Barwise Award.
Stephanie is being recognized for her…
Firestone Medal: Jñani Crawford ('20)
Congratulations to Jñani Crawford (Class of 2020) for being awarded a …
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Director Michael Frank helps the world analyze how children acquire language differently—and just how much they have in common.
"Quid Pro Quo" Wins Symbol of the Year Vote for 2019
STANFORD, CA, FEB. 3, 2020 - Affiliates of the Symbolic Systems Program at Stanford University have chosen the phrase "quid…
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The National Academy of Sciences (NAS) has recognized Michael Frank with a 2020 Troland Research Award for early language learning research.
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Anat is currently studying history with a minor in symbolic systems, a special Stanford major that combines linguistics and technology. She is currently writing an honors thesis about Labor Zionism and the kibbutz.
| Stanford News
Stanford scholar Jeremy Bailenson and other researchers found that people’s interactions with a virtual person in augmented reality, or AR, influenced how they behaved and acted in the physical world.