|AI Guided Spectrum Operations|
AI Guided Spectrum OperationsMay 6, 2021 | 14:00 - 15:00 EDT (18:00 - 19:00 UTC)
From autonomous vehicles to autonomous markets, it is becoming clear that solutions comprised of autonomous intelligent agents are changing the way we get things done. In situations involving “person-in-the-loop” style systems, we continue to push the human operator out of the tighter, faster inner loops and into a more supervisory role. This push from the center is for good reason: for what autonomous systems lack in ingenuity, they make up for in untiring and unrelenting attention and speed.
More importantly, recent advances in the field of machine learning empower computer systems to “discover” hidden insights within data, exposing hidden correlations and conclusions normally obscured by the complexity and enormity of the available data. This allows for the creation of tools that act as a force multiplier, allowing the benefit of the properties of large data sets while providing the human decision maker on the other end with a higher level of understanding of the meaning of its contents.
It is our view that the automation of the attention intensive tasks of detection, identification, classification and location of bespoke signals and systems will lead to the faster, better insights required for providing actionable decision support. The AI techniques implemented allow for a significant force multiplier by utilizing the richness of large data sets that are being generated at a rate of greater than 100GB/min, while providing the operator with a better understanding of the meaning of its contents.
To enable guided spectrum operations at the tactical edge, computationally intensive tasks must perform real-time DSP and machine learning in platforms with low SWaP-C requirements. Such platforms will need to overcome integration, interoperability and scalability challenges with the latest in data processing and data sharing techniques.
This seminar will discuss an AI system that is computationally efficient, scalable and in compliance with the Defense Innovation Board Recommendations on AI Ethical Guidelines.
Mr. Nicholas Ortyl, Vice President of Engineering, QRC Technologies, is a Parsons Technical Fellow with over 25 years of experience in at engineered products companies, with technology deliveries spanning defense, industrial, automotive, and agricultural sectors. He holds a BS of Mechanical Engineering from Worcester Polytechnic Institute and an MBA from the University of Connecticut. Mr. Ortyl and his team deliver RF-based integrated solutions for government, military and law enforcement agencies. These products and solutions address a wide range of SIGINT and COMINT missions.
Mr. Nicholas Ortyl
Registration will close one hour prior to the start of the webinar (1pm ET)! Any registrations taken after this time will not be able to view the live webinar.
Registration and attendance at this live event is complimentary for AOC members and non-members alike. However, you must be signed into your AOC account to register. If you don't have an AOC account, but would like to register for free, please join here as a "Guest Non-Member."
After you register for the webinar, you will be emailed a confirmation with the link to the webinar, along with instructions on how to connect.
You can also access the webinar via free mobile apps available on iOS and Android devices.
For questions, please contact Caleb Herr.
PLEASE NOTE: By registering for this webinar, you are providing explicit consent that the details of your registration may be used by the Association of Old Crows (AOC), the presenter, and/or the sponsor(s) to contact you via email for informational and marketing purposes.
The entire presentation and Q&A will be recorded for viewing approximately 24 hours after the event. On-demand viewing of recorded webinars is reserved as a complimentary benefit for dues-paying AOC members, or access to the recording can be purchased individually for Guest Non-Members. You can join the AOC here.