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  • Video 
    Graduate School distinguished speaker series : Safety : the challenge of ML-enabled cyber-physical systems (CPS)

    Graduate School distinguished speaker series : Safety : the challenge of ML-enabled cyber-physical systems (CPS)

    Machine learning can deliver unprecedented performance. Its application domain has expanded into safety-critical cyber-physical systems such as UAVs and self-driver cars. However, the safety assurance of vehicular control has two conditions: 1) an analytical model of system behaviors such as provable stability, and 2) the software safety certification process (e.g., DO 178C) requires that the software be simple enough so that software safety can be validated by a combination of model checking and near exhaustive testing. Although ML software, as is, does not meet these two safety requirements, the real-time physics model supervised ML architecture holds the promise to 1) meet the two safety requirements and 2) enable ML software to safely improve control performance and safely learn from its experience in real-time. This talk will review the structure of the proposed architecture and some methods to embed physics into ML-enabled CPS control.
    Event Date: 12/05/2022
    Speaker: Prof. Lui Sha (University of Illinois Urbana-Champaign)
    Hosted by: Graduate School

    Subjects:
    Aeronautical and Aviation Engineering and Computing
    Keywords:
    Machine learning Vehicles Remotely piloted Computer software -- Reliability Drone aircraft
    Resource Type:
    Video
     
  • MOOC 
    Interdisciplinary Innovations for Population Ageing (Second Run)

    Interdisciplinary Innovations for Population Ageing (Second Run)

    Population ageing is a global phenomenon profoundly affecting the well-being of communities. Disciplines such as Social Sciences, Design, and Engineering offer unique, insightful innovations for ageing societies. Along with providing solutions catering to their professional niche, these disciplines achieve creative and practical innovations through interdisciplinary collaboration. This course intends to explore and examine the process of incubating innovations in these three disciplines and help the learners to appreciate the synergy created when working toward innovations by adopting an interdisciplinary approach.

    Subjects:
    Social Sciences
    Keywords:
    Older people -- Government policy Older people -- Services for Technology older people Ageing
    Resource Type:
    MOOC