Cognitive EW: Assuring In-Mission Learning for EW

#technical #ML
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Machine Learning (ML) can be relatively easy, if you have a server farm and humans in the loop. How do you make it happen when you have an isolated machine in arduous conditions?


This presentation will discuss the challenges for assuring the performance of a system that can learn from novel experiences in the field. Electronic Warfare (EW) systems operate at a timescale that means they cannot afford to learn post-mission, or with human supervision. EW systems must learn from a single observation, using self-supervised reinforcement feedback. The validation infrastructure must therefore support automated closed-loop, multi-resolution testing, and ways to test the effectiveness of actions. We must validate the learning process, rather than validating the learned model.



  Date and Time

  Location

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  Registration



  • Date: 08 Nov 2024
  • Time: 05:45 PM to 07:00 PM
  • All times are (UTC-06:00) Central Time (US & Canada)
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  • 1500 Engineering Drive
  • Madison, Wisconsin
  • United States 53706
  • Building: Engineering Research Building
  • Room Number: 106

  • Contact Event Host
  • Starts 26 October 2024 12:00 AM
  • Ends 07 November 2024 05:00 PM
  • All times are (UTC-06:00) Central Time (US & Canada)
  • No Admission Charge


  Speakers

Karen Haigh

Topic:

Cognitive EW: Assuring In-Mission Learning for EW

Biography:

Karen Haigh is with Haskill Consulting LLC, registered in Minnesota, USA

She is a Consultant for Cognitive Electronic Warfare and Embedded Artificial Intelligence and Machine Learning (AI/ML). With her co-author Julia Andrusenko, she wrote the book Cognitive Electronic Warfare: An Artificial Intelligence Approach, released by Artech House in August 2021.

She graduated from CMU in 1998 with a PhD in Computer Science with a focus on AI and Robotics. She is currently consulting on Cognitive Electronic Warfare concepts.





Agenda

5:45 - Networking and pizza

6:00 - Administrative and introduction of speaker

6:05 - Presentation

6:50 - Question/answer period



Parking should be available in Ramp 17 at the west end of Engineering Drive.

There will be time for networking over pizza before the talk. Please register, so that we know how much pizza to get.