Session 2 of our dual Lunch & Learn series –
Date: February 15, 2024
Time: 1:00 pm to 3:00 pm
Location: CACI Main Conference Room
Cognitive EW: Data Requirements for AI
A common myth is that we need a lot of data to train an AI-ML system. This myth not only causes developers to fear data collection, but also causes developers to create solutions that are not fieldable. EW systems can leverage first-principle models (such as physics), feature engineering, and progression of the engagement to dramatically reduce the data collection requirements, and create systems that can learn on single observations of novel environments.
About Our Presenter:
Dr. Karen Haigh is an expert and consultant in Cognitive EW and embedded AI. Her focus is on physical systems with limited communications and limited computation resources that must perform under fast hard-real-time requirements. She recently wrote the book “Cognitive EW: An AI 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. Dr. Haigh is a regular presenter to both academic and military communities around the world, and has created a variety of online content discussing embedded AI for mission-critical systems, supporting rapid real-time in-mission learning, and assuring AI in the field. Her course on Cognitive EW is available through the Association of Old Crows. Dr. Haigh has over 30 years of experience in the aerospace industry, working for Honeywell, BBN Technologies, L3, and Mercury Systems.
Dr. Haigh has chaired over a dozen AI conferences, symposia, and workshops, and is a regular program committee member and technical paper reviewer. She has over 100 publications, and 21 patents, including 3 books.
She received her PhD in from Carnegie Mellon University in Computer Science with a focus on AI and Robotics, and her undergraduate from the University of Ottawa in Honours Computer Science (summa cum laude).
Please note that lunch will be served from 12:00 to 12:30, immediately before the start of our second session. Please RSVP for each session separately, so we know if you’re attending both.
RSVPs for this event are now closed.