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A Center for Neural Data Science Seminar Series
A Center for Neural Data Science Seminar Series
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
An AI Measurement Science (AIMS) Seminar Series
An AI Measurement Science (AIMS) Seminar Series
Phil Lewis from the National Center for O*NET Development will talk about data infrastructure the US Department of Labor provides, and how AI is used to update it. A panel with Diyi Yang from the Stanford Computer Science Department and DEL’s Erik Brynjolfsson will discuss the opportunities of a new partnership between Stanford and the National Center for O*NET Development.
Phil Lewis from the National Center for O*NET Development will talk about data infrastructure the US Department of Labor provides, and how AI is used to update it. A panel with Diyi Yang from the Stanford Computer Science Department and DEL’s Erik Brynjolfsson will discuss the opportunities of a new partnership between Stanford and the National Center for O*NET Development.
In the last year, AI models have rapidly improved on public benchmarks measuring their ability to carry out research tasks autonomously. Such performance suggests that models may be capable of automating parts of the AI R&D process itself, thereby accelerating the pace of AI progress.
In the last year, AI models have rapidly improved on public benchmarks measuring their ability to carry out research tasks autonomously. Such performance suggests that models may be capable of automating parts of the AI R&D process itself, thereby accelerating the pace of AI progress.
This talk will cover key insights from the third AI100 report, AI Goes Mainstream: The Scaling Era and the Rise of Generative AI, set for release in November 2026. The report was commissioned by the AI100 standing committee and led by study panel chair Michael Wooldridge.
This talk will cover key insights from the third AI100 report, AI Goes Mainstream: The Scaling Era and the Rise of Generative AI, set for release in November 2026. The report was commissioned by the AI100 standing committee and led by study panel chair Michael Wooldridge.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Please join us for an illuminating investigation of the complex work of social media content creators—their lives, conflicts, and controversies.
Please join us for an illuminating investigation of the complex work of social media content creators—their lives, conflicts, and controversies.
A Center for Neural Data Science Seminar Series
A Center for Neural Data Science Seminar Series
Hear from speakers and attendees at recent Stanford HAI events across research, policy, and education.
Bigger Data About Smaller People: Investigating Children's Language Learning at Scale
Bigger Data About Smaller People: Investigating Children's Language Learning at Scale
Stanford’s Art + Tech Salon is a quarterly get-together where Stanford affiliated artists, researchers, scholars, and students who work at the intersection of art + tech gather to share work and resources, engage in discussion and build community.
Stanford’s Art + Tech Salon is a quarterly get-together where Stanford affiliated artists, researchers, scholars, and students who work at the intersection of art + tech gather to share work and resources, engage in discussion and build community.
Legacy Russell's curatorial and creative work explores gender, performance, and digital selfdom.
Legacy Russell's curatorial and creative work explores gender, performance, and digital selfdom.
A Psychiatrist’s Perspective on Social Media Algorithms and Mental Health
A Psychiatrist’s Perspective on Social Media Algorithms and Mental Health
Prototyping Feminist AI
Quantifying the “National Physique”: Deterioration, Degeneracy, and the British National Anthropometric Survey, 1904
Quantifying the “National Physique”: Deterioration, Degeneracy, and the British National Anthropometric Survey, 1904
Joanne McNeil is a writer and artist interested in technology and culture. Her book, Lurking: How a Person Became a User, is a personal history of the social internet from Usenet in the 1980s to Reddit, Instagram, and Wikipedia today.
Joanne McNeil is a writer and artist interested in technology and culture. Her book, Lurking: How a Person Became a User, is a personal history of the social internet from Usenet in the 1980s to Reddit, Instagram, and Wikipedia today.
Legacy Russell is a writer and the Associate Curator of Exhibitions at The Studio Museum in Harlem. Their academic, curatorial, and creative work focuses on gender, performance, digital selfdom, internet idolatry, and new media ritual. Their first book Glitch Feminism: A Manifesto (2020) is published by Verso Books.
Legacy Russell is a writer and the Associate Curator of Exhibitions at The Studio Museum in Harlem. Their academic, curatorial, and creative work focuses on gender, performance, digital selfdom, internet idolatry, and new media ritual. Their first book Glitch Feminism: A Manifesto (2020) is published by Verso Books.