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  • On Oct. 16-17, some 60 Princeton graduate students and postdocs — along with a handful of undergraduates — explored the most widely used deep learning techniques for computer vision tasks and delved into using new parallel computing programs to dramatically speed up applications.
  • In the 19th century, printing technology changed the way readers experienced texts. Today, students and researchers are using digital technology to access historical literary texts in new ways and finding surprising echoes of the past in their own lives.
  • With the goal of creating next-generation computing power to support high-energy physics research, the National Science Foundation (NSF) announced today that Princeton University will lead a new NSF-funded coalition of 17 research universities to be called the Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP).
  • To capture and control the process of fusion that powers the sun and stars in facilities on Earth called tokamaks, scientists must confront disruptions that can halt the reactions and damage the doughnut-shaped devices.  Now an artificial intelligence system under development at the U.S.
  • As thunderstorms rumbled across the region, fifty-six high energy physics graduate students and twelve presenters from across the United States, as well as from India, Pakistan, France, and Norway, gathered at the Princeton Center for Theoretical Science (PCTS) to attend the Computational and Data S
  • In scientific research, results don’t just have to be good—they have to be reproducible. Members of the PICSciE-affiliated research team are achieving both, as they apply a deep-learning AI approach to the problem of disruption forecasting in tokamak fusion plasmas.
  • Enabling high-impact research by bringing education and advanced computing to the Princeton community
  • Education and Training

    An extensive educational, training, and outreach program in research computing is available on campus supported by Princeton Institute for...
  • Enabling Princeton's Research Community

    Research computing at Princeton University engages academic departments and disciplines across the natural sciences, engineering, social sciences,...
  • Systems and Services

    Supporting faculty, researchers and students with training workshops, in-person and on-line help, and a wide range of research software tools.

Training

Introduction to QGIS (offered twice a semester)

Wed, Nov 14, 2018, 1:30 pm to 3:00 pm
Location: 225 Lewis Library Electronic Classroom

Princeton University Python Community Kickoff Event

Wed, Nov 14, 2018, 4:00 pm to 5:30 pm
Location: 347 Lewis Library, Vis Lab

Help Sessions

Weekly Help Sessions in Visualization & Programming

Thu, Nov 15, 2018, 2:00 pm to 3:00 pm
Location: 347 Lewis Science Library

Weekly Help Sessions

Tue, Nov 20, 2018, 10:00 am to 11:00 am
Location: 347 Lewis Science Library

Other Events

Princeton University Python Community Kickoff Event

Wed, Nov 14, 2018, 4:00 pm to 5:30 pm
Location: 347 Lewis Library, Vis Lab

Image Analysis using Python

Tue, Dec 4, 2018, 4:00 pm to 5:00 pm
Location: 347 Lewis Library, Vis Lab

Research News

Wednesday, Aug 17, 2016

The amount of data encompassed by the global climate in its entirety, from its winds and temperature conditions to shifting formations of cloud,...

Wednesday, Aug 17, 2016

Turbulent combustion is just that. Jet engines and high-power furnaces produce a great amount of energy, along with its byproduct: emissions in...

Wednesday, Aug 17, 2016

Energy is central to civilization as we know it. It’s also environmentally untenable in its current state. This is an issue Professor Emily Carter...

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