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Bradford Seminar Series: "Synergies and co-benefits of a clean energy transition in China"Dr. Denise Mauzerall is the William S. Tod Professor of Civil and Environmental Engineering and Public and International Affairs at Princeton University holding a joint appointment between the…
From Broadcast Broadcast Center Staff
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CITP Seminar: Benjamin Brooks - The Opportunity, Threat, and Shadow Regulation of Open Models in AIOpen source AI models can play a vital role in promoting transparency, competition, and experimentation in AI. Two-thirds of recent foundation models were released openly, and…
From CI Center for Information Technology Policy
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Bradford Seminar: A Pragmatic Approach to Cumulative Impacts: Coordinating Decision to Address Impacts Cumulatively (10.8.2024)Tim Barzyk is a physical scientist at the U.S. Environmental Protection Agency, Office of Research and Development. Over the past two decades, he has worked with dozens of community residents and…
From Broadcast Broadcast Center Staff
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OURSIP Intern – Matias AndiaDeveloping a Luminosity Function for Unresolved TeV Blazars Advised by:Mariangela Lisanti, PHY Carlos Blanco, PHY
From our Undergraduate Research
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The History of Mpala Research Centre and Its Impact on Science and Local Communities, Katie Rohrbaugh, UG '24 (53E7F75E)This project aims to analyze the historical development of Mpala Research Centre, an ecological research institution located in Laikipia County, Kenya, and connect it to broader historical trends at…
From Research Princeton Research Day
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Breaking the NVIDIA Tyranny: Transpilation Enhanced by Automatic Parallelization, Susan Tan, GS (77BBEB41)Since 2015, NVIDIA's stock has increase 40-fold, primarily due to its dominance in the GPU market, crucial for AI advancements. With its Tensor Cores, like the A100 and H100, customized for AI…
From Research Princeton Research Day
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DEATHSTAR: A System for Confirming Planets and Identifying False-Positive Signals in TESS Data Using Ground-Based Time-Domain Surveys, Gabrielle Ross, UG '27 (E47E8636)DEATHSTAR is a complete Python pipeline that confirms exoplanet discoveries, and is published under Ross et al. in the Monthly Notices of the Royal Astronomical Society December 2023…
From Research Princeton Research Day
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