Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY
Jamie Irza

Jamie Irza
Principal Systems Engineer, Raytheon

Jamie Irza is a senior principal systems engineer at Raytheon Integrated Defense Systems, where her recent work has been focused on the application of machine learning techniques to implement activity-based intelligence (ABI) algorithms to enhance the performance of sensors such as radars and imaging systems. Jaime’s technical specialization includes systems engineering, signal processing, and machine learning. Jamie holds a BSEET with a minor in mathematics from Roger Williams University and an MSEE from the University of Rhode Island.

Sessions

1:45pm–2:25pm Tuesday, May 1, 2018
Using machine learning to enhance activity-based intelligence
Implementing AI
 Location: Concourse A
Jamie Irza (Raytheon)
Average rating: ***..
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Activity-based intelligence (ABI) is the art and science of understanding normal patterns of life to enhance the ability of a system to detect anomalous behavior (e.g., to identify cases of credit card fraud). Jamie Irza demonstrates how machine learning can be used to implement ABI for detecting threatening behavior from unmanned aerial systems, commonly known as drones. Read more.