CIE SEIKM Panel: AI / ML in Systems Engineering

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Computers & Information In Engineering

Computers and Information in Engineering Division (CIE) is a forum for understanding the application of emerging technologies that impact critical engineering issues of representation, product design...
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  • CIE SEIKM Panel: AI / ML in Systems Engineering

    The new CIE webinar will feature a panel of experts discussing the use of Artificial Intelligence (AI) and Machine Learning (ML) in Systems Engineering. As the demand for designing systems increases, so have their requirements. Systems are being designed on shorter schedules and smaller budgets, yet performance and capability are increasing. Simply put, systems are required to do more with less. This paradigm offers a unique challenge to designers and is being addressed through AI and ML. AI and ML have been proposed in many engineering problems, often showing significant improvements for solving specific problems. In some cases, AI and ML offer the only solution. This panel will explore the use of AI and ML across Systems Engineering. Our panelists are spread across industry, government, and academic organizations and offer the diverse perspectives of each.

    Panelists.

    • Shelley P. Gallup, Ph.D.
    • Organization: Naval Postgraduate School
    • Topic: AI/ML in autonomous vessels to study Emergent behaviors and risk factors
    • Chris Holmes-Parker, Ph.D.
    • Organization: OptoKnowledge Systems Inc. (OKSI)
    • Ying Zhao, Ph.D.
    • Organization: Naval Postgraduate School
    • Topic: Leveraging AI/ML to Learn, Optimize, and Win (LAILOW) for Complex Enterprises
    • Wentao Fu, Ph.D.
    • Organization: Boeing
    • Topic: AI/ML in Boeing Additive Manufacturing

     

    Panel invite. 

    =================================================

     

    Topic: CIE SEIKM Panel: AI / ML in Systems Engineering

    Time: Sep 18, 2020 01:00 PM Eastern Time (US and Canada)

     

    Join Zoom Meeting

    https://purdue-edu.zoom.us/j/98780314485?pwd=N2t3ZU0wK3c1R3RsRktjNmR2cjkvUT09

     

    Meeting ID: 987 8031 4485

    Passcode: 443892

    One tap mobile

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    +13126266799,,98780314485#,,,,,,0#,,443892# US (Chicago)

     

    Dial by your location

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    Meeting ID: 987 8031 4485

    Passcode: 443892

    Find your local number: https://purdue-edu.zoom.us/u/auksV9QBp

    =================================================

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