Cognitive Electronic Warfare: Using AI to Solve EW Problems
Ғылым және технология
Date Presented: 03/23/2023
Speaker: Karen Haigh, PhD consultant in Cognitive EW and embedded AI
Abstract:
This presentation will highlight how artificial intelligence (AI) can be used in electronic warfare (EW). AI enables EW systems to respond more quickly and effectively to battlefield conditions with complex and novel emitters. The presentation will touch on AI techniques for electronic support (ES), electronic protect (EP), electronic attack (EA), and electronic battle management (EBM). It will describe how to handle real-time in-mission learning, motivate why this capability is crucial, and present ideas on how to evaluate a system that learns during a mission. The presentation is based on the book “Cognitive Electronic Warfare: An Artificial Intelligence Approach.” us.artechhouse.com/Cognitive-...
Speaker's Bio:
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 received her PhD in from Carnegie Mellon University in Computer Science with a focus on AI and Robotics. She is a Fellow of the AsiaPacific AI Association (AAIA), a Fellow of the IEEE, and a Distinguished Lecturer for IEEE Aerospace and Electronic Systems. sites.google.com/site/kzhaigh
Пікірлер: 16
The questions remind me of early grad school when people ask questions just to demonstrate they can be smart too like - chill out
No more questions during the talk
Brilliant presentation!
One correction: you mentioned that the difference between ATC and SAM radar is that one wants to help you land but the other doesn’t want to help you land. That’s wrong. They both want to help you land, it’s just that one wants to do it really quickly.
Hello, do you have the presentation slides available?
I'm not convinced that "nobody" looks at that data. I believe every data item is taken in by AI to learn even the simplest things like human maneurisms
@Ruthyism-
4 ай бұрын
I think you’re 100% correct.
@enterthekraken
2 күн бұрын
I don’t deal in EW but there are cases where you don’t want to use all the data: if 99% of your data is empty sky and you want to learn about the other 1%, sometimes you want to rebalance your dataset so the algorithm can learn it better.
They like noise 4/Some Reason...Responce ?
Are you using an AI voice🔦
these ppl just introduce new buzzwords for the same issues
If we had satellites phones would still work