IEEE HUNTSVILLE AESS CHAPTER IEEE, DR. HAIGH, DISTINGUISHED LECTURER TALK:Machine Learning in Embedded, Data-deprived Devices

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IEEE Huntsville AESS Chapter and Section presents IEEE Distinguished Lecturer Dr. Karen Haigh: Machine Learning in Embedded, Data-deprived Devices

 

Machine Learning in Embedded, Data-deprived Devices

Absract – Modern AI approaches are not suitable for small embedded systems that are disconnected from the Cloud. The must autonomously process sensor data, decide what actions to take, and learn from their experiences without the benefit of Cloud infrastructure. Common challenges include learning from only one example, making rapid decisions and taking action in milliseconds; and delivering guaranteed performance. This talk will describe a variety of domains with these challenges and some of the approaches we use to handling them.

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IEEE HSV & AESS DL Machine Learning in Embedded, Data-deprived Devices
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  • Date: 05 Feb 2024
  • Time: 11:30 AM to 12:30 PM
  • All times are (GMT-06:00) US/Central
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  • 658 Discovery Dr NW, Huntsville, AL 35806
  • Huntsville, Alabama
  • United States 35806
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  • Will Goins
    Chair IEEE Huntsville Section, Huntsville, AL
    (256)203-6880
  • Starts 16 January 2024 08:30 PM
  • Ends 04 February 2024 09:30 PM
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  Speakers

Dr. Karen Haigh

Topic:

Machine Learning in Embedded, Data-deprived Devices

Modern AI approaches are not suitable for small embedded systems that are disconnected from the Cloud. The must autonomously process sensor data, decide what actions to take, and learn from their experiences without the benefit of Cloud infrastructure. Common challenges include learning from only one example, making rapid decisions and taking action in milliseconds; and delivering guaranteed performance. This talk will describe a variety of domains with these challenges and some of the approaches we use to handling them.

Biography:

Dr. Karen Haigh, IEEE Fellow, AIAA Fellow,  is an expert and consultant in Cognitive EW and embedded Al. She recently wrote the book "Cognitive EW: An Al Approach" with Julia Andrusenko. She was a pioneer in three fields now common across the globe: 1) closed-loop planning and machine learning for autonomous robots, (2) smart homes for elder care, and 3 cognitive RF systems

 




Agenda

11:30 Welcome, AESS introduction & chapter update

11:40 Meal (Boxed Lunch)

11:45 - 12:15 Speaker

12:15 - 12:30 Discussion 

12:30 - Adjourn