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CDS Speaker Seminar Series

NYU Center for Data Science

Organized by professors, faculty fellows, and PhD students, the speaker seminar series offers insight into topics from natural language processing to politics. To get a glimpse at what’s in store for this semester’s lectures, read about each seminar below.

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Introducing the AI, Misinformation, and Policy Seminar Series

NYU Center for Data Science

The AI, Misinformation, and Policy Seminar Series (AMPol) at the Center for Data Science explores this critical research area, featuring speakers working in the intersecting fields of data science, machine learning, and misinformation. To access the lecture slides, please visit Emily Saltz Lecture Slides. by Meryl Phair

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Unexpected Connections Emerge at CDS’ Weekly Data Science Lunch Seminar

NYU Center for Data Science

This post is part of a series exploring CDS Seminars Andrew Wilson speaking at his Sept 18, 2019 seminar, “How do we build models that learn?” The Data Science Lunch Seminar Series at CDS provides a space for those serendipitous sparks of insight to fly.

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I taught the Iliad to Chinese teenagers

Hacker News

Several years ago I had the chance to lead two seminars with a group of high-performing Chinese high school seniors. Each seminar had between 20-35 kids; each of these students was a graduating senior enrolled in the international department of a prestigious high school in Beijing. The purpose of these seminars was twofold.

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AI model predicts adult ADHD using virtual reality and eye movement data

Flipboard

A novel virtual reality test has shown promise in identifying adult ADHD by tracking attention, eye movement, and behavior in a simulated seminar room.

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An AI Chatbot Took A Graduate Course And Got An A. No One Noticed.

Flipboard

For nearly an entire semester last year, a student enrolled in an online Masters-level course in health administration at a University in South Carolina was doing really well, participating in class discussion boards, contributing to live online seminars, and getting very high marks on written work

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DeepSeek Doesn’t Scare OpenAI, Thanks to the ‘Jevons Paradox’

Flipboard

Economic jargon is usually confined to textbooks and business school seminars. The economic theory, which traces to 1865, says that as a resource becomes more efficient to use, demand will increase. It came up a lot in A.I. circles last month. But every once in a while, something happens in the