Data Science

  • Princeton program empowers youth to shape the future of artificial intelligence

    Monday, Aug 26, 2019
    by Molly Sharlach, Office of Engineering Communications

    Teenagers enjoy the products of artificial intelligence (AI) every day, whether taking a twisted selfie with a photo filter or listening to music with an automated streaming service. But not many high school students have used AI themselves to analyze human genetic variation or track deforestation in the Amazon.

  • Princeton leads efforts to develop national data training framework for high energy physics

    Monday, Aug 19, 2019
    by Melissa Moss for the Princeton Institute for Computational Science and Engineering

    For the third consecutive summer, high  energy physics graduate students, postdocs and instructors from across the United States, as well as from India, Italy and Switzerland, gathered at Princeton University to attend the school on Tools, Techniques and Methods for Computational and Data Science for High Energy Physics or CoDaS-HEP, held this year July 22-26.

  • Innovative tiny laser has potential uses in drug quality control, medical diagnosis, airplane safety

    Wednesday, Jul 24, 2019
    by Molly Sharlach, Office of Engineering Communications

    In a major step toward developing portable scanners that can rapidly measure molecules on the pharmaceutical production line or classify tissue in patients’ skin, a Princeton-led team of researchers has created an imaging system that uses lasers small and efficient enough to fit on a microchip.

    The team demonstrated the system’s resolution by using it to image a U.S. quarter. Fine details like the eagle’s wing feathers, as small as one-fifth of a millimeter wide, were clearly visible.

  • Strange warping geometry helps to push scientific boundaries

    Monday, Jul 15, 2019
    by Molly Sharlach, Office of Engineering Communications

    Atomic interactions in everyday solids and liquids are so complex that some of these materials’ properties continue to elude physicists’ understanding. Solving the problems mathematically is beyond the capabilities of modern computers, so scientists at Princeton University have turned to an unusual branch of geometry instead.

  • Artificial intelligence detects a new class of mutations behind autism

    Tuesday, May 28, 2019
    by Steven Schultz, Office of Engineering Communications

    Many mutations in DNA that contribute to disease are not in actual genes but instead lie in the 99% of the genome once considered "junk." Even though scientists have recently come to understand that these vast stretches of DNA do in fact play critical roles, deciphering these effects on a wide scale has been impossible until now.

  • New campus-wide service will enhance access to research data

    Tuesday, May 14, 2019
    by Catherine Zandonella, Office of the Dean for Research

    With the goal of making the results of research and scholarship more accessible, Princeton will launch a new service to provide infrastructure and training to University researchers on how best to format and curate data in ways that facilitate long-term storage and discovery.  

  • Bringing Balance to the Quantum Force

    Wednesday, Apr 24, 2019
    by Doug Hulette, Computer Science

    Quantum computing has plenty of skeptics, but assistant professor Mark Zhandry isn’t one of them. 

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