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In this talk, Professor Narayanan shares lessons learned over the
last decade and a half about how to be more effective in tech policy. He
will also talk about the resources and opportunities…
Date
September 12th, 2023 Speaker
Arvind Narayanan Department
Center for Information Technology Policy
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On May 1, 2023, Princeton University's James Madison Program in American Ideals and Institutions hosted John Tasioulas for its annual Harold T. Shapiro Lecture on Ethics, Science, and…
Date
May 1st, 2023 Speaker
John Tasioulas Department
Politics/James Madison Program Location
Robertson Hall 016
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The emergence of large language models (LLMs) represents a major advance in artificial intelligence (AI) research. However, the widespread use of LLMs is also coupled with significant ethical and…
Date
March 28th, 2023 Speaker
Jakob Mokander Department
Center for Information Technology Policy Location
306 Sherrerd Hall
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The Southern Patagonian Ice Field (SPIF) in Argentina and Chile is the second-largest extrapolar ice field in the world and a critical region for understanding the impacts of climate change on alpine…
Date
May 4th, 2023 Speaker
Will Hartman, UG '25, Jack Green, UG '24, Michael Salama, UG '24, Byron Zhang UG '23 (2768711) Department
Environmental Studies, SPIA, History, and Computer Science
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Music is a universal language, and people can easily decipher between many different types of instruments. While recent developments in machine learning have allowed computers to distinguish between…
Date
May 4th, 2023 Speaker
Louis Larsen, UG (2270432) Department
Computer Science
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Two-dimensional human pose estimation is a challenging task, where the goal is to localize key anatomical landmarks (e.g. elbows, knees, shoulders), given an image of a person in some pose. Current…
Date
May 4th, 2023 Speaker
Nobline Yoo, UG '23 (2272767) Department
Computer Science
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Information retrieval (IR) is the task of learning useful ways of representing text documents that allow us to efficiently relevant the most relevant documents for a given query, e.g. by encoding…
Date
May 4th, 2023 Speaker
Michael Tang, UG '24 (2272401) Department
Computer Science
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With the rapid development of large-scale and complex generative AI models, there is a there is a demand for new tools to explain the inner workings and behavior of such systems. While various visual…
Date
May 4th, 2023 Speaker
Adam Kelch, UG '24 (2262505) Department
Computer Science
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Plant-based fabric for waste-free living, digital fashion for a virtual existence and 3D-printed gills for a submerged aquatic society are all futures proposed by today’s fashion-tech…
Date
May 4th, 2023 Speaker
Payton Croskey, UG '23 (2276153) Department
African American Studies
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An idea that we unfortunately inject ourselves with is “technological determinism” (Paul Adler; L.M. Sacasas) — in a nutshell, what it means is that technology evolves naturally…
Date
April 27th, 2023 Speaker
Rolando Masis-Obando, GS Department
Neuroscience
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