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  • Apr10

    Information systems generally involve storage and analytics of large-scale data, many of which may be highly sensitive (e.g., personal/medical information, financial transactions). Thus, it is critical to ensure that these systems not only provide essential functionalities in a large scale efficiently but also achieve a high level of security against cyber threats.

    4:00pm to 5:00pm
    Zoom - See emails for details
    Thang Hoang
    University of South Florida
  • Apr08

    History on Tap - National Czech & Slovak Museum & Library - logoRobots have integrated into our society, moving beyond manufacturing applications. Robots can now be found working in hotels, hospitals, and schools. They are learning to drive and deliver packages. Robots also appear in television shows, films, and plays.

    6:30pm
    Kalona Brewing Company
    Denise Szecsei
    National Czech & Slovak Museum & Library
  • Apr08

    Different programming languages offer different benefits and software engineers use a variety of different languages for different tasks. Programmers use dynamically typed languages like JavaScript and PHP for their flexibility and interactivity, while they use statically typed languages to clarify program interfaces, catch bugs and enable type-based optimizations.

    4:00pm to 5:00pm
    Zoom - See emails for details
    Max New
    Northeastern University
  • 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
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