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  • Apr03

    Recent innovations in artificial intelligence and machine learning not only excel at numerous tasks in industry and academia but also keep impacting our daily lives. With the power of large datasets and the availability of compute resources such as graphics processing units (GPUs) and tensor processing units (TPUs), machine learning models have grown with increasingly better performance. However, their success relies heavily on the surge of big computing and big data. There remain challenges emerging in the real world given limited resources.

    4:00pm to 5:00pm
    Zoom - See emails for details
    Qian (Lara) Yang
    Duke University
  • Apr01

    When analyzing data sets from real-world applications, many classical "efficient" algorithms that run in time quadratic to the input size are considered too slow to be practical.

    4:00pm to 5:00pm
    Zoom - See emails for details
    Hsien-Chih Chang
    Duke University
  • Mar30

    The Internet of Things (IoT) heralds the emergence of multitudes of computing-enabled networked everyday devices with sensing capabilities in homes, cars, workplaces, and on our persons, leading to ubiquitous smarter environments and smarter cyber-physical “things.” The next natural step in this computing evolution is to develop the infrastructure needed for these computational things to collectively learn.

    4:00pm to 5:00pm
    Zoom - See emails for details
    Shuochao Yao
    University of Illinois at Urbana-Champaign
  • Mar27

    Design and operation of modern computer systems are increasingly influenced by external disciplines such as law and economics. In this talk, we explore two such emerging phenomena: digital privacy laws and cloud economics. I make a case for why these trends are fundamental and how they invalidate computing principles and practices that have years of precedence. Then, I demonstrate how to build systems infrastructure to manage their impact.

    4:00pm to 5:00pm
    Zoom - See emails for details
    Supreeth Shastri
    University of Texas at Austin
  • Mar25
    6:30pm to 7:30pm
    Online
    SiTS - Students in Technology and Sciences
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