So....we have a release not long ago confirming partnership with BRE on tactical edge products for the military.
There is a US defence & commercial sensing conference coming up.
Conference 12538
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V
1 - 4 May 2023 | Tampa 2
View program details for SPIE Defense + Commercial Sensing conference on Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V
spie.org
One of the presentations caught my eye...not to say is about Akida but is in the realm of what BRE and BRN are working in.
The other fun fact ...the presenter is obviously military but currently pursuing his PhD in Computer Science and Machine Learning Operations at Carnegie Mellon University.
Would expect will have some exposure to Akida?
Commanders must remain agile and adaptive in the future Artificial Intelligence (AI)-enabled multi-domain battlespace, where critical decisions are made at the tactical edge. Over-reliance on static, cloud-centric approaches to Machine Learning Operations (MLOps) compromises such agility and...
spie.org
Paper 12538-28
Tactical agility for AI-enabled multi-domain operations
2 May 2023 • 3:10 PM - 3:30 PM EDT | Tampa 2
Commanders must remain agile and adaptive in the future Artificial Intelligence (AI)-enabled multi-domain battlespace, where critical decisions are made at the tactical edge. Over-reliance on static, cloud-centric approaches to Machine Learning Operations (MLOps) compromises such agility and adaptability. These systems must operate in a dynamic threat environment, and learn to detect novel threats during operation. They must be able to perform this learning through the execution of tactical MLOps under austere and degraded conditions, especially limited wireless network bandwidth. In response to these requirements, this paper describes Hawk, a system that leverages edge proximity for rapid and iterative execution of the Observe stage of the Observe-Orient-Decide-Act loop. Central to this architecture is the use of tactical cloudlets. These mini data centers provide cloud-like computing resources without the communication latency to exascale data centers. Hawk enables a human to guide MLOps at low cognitive load, thus enabling an operational objective to be achieved at speed and scale while remaining usable and explainable.
Presenter
Eric M. Sturzinger
Carnegie Mellon Univ. (United States)
MAJ Eric Sturzinger is a Network Systems Engineer (FA26A) who has served as a platoon leader and company executive officer before becoming the systems engineer for both a tactical signal brigade and expeditionary signal battalion. From 2017-2020, MAJ Sturzinger served as an Instructor and Assistant Professor in the Department of Electrical Engineering and Computer Science at the United States Military Academy. His most recent assignment was to the Artificial Intelligence Integration center (AI2C) in Pittsburgh, PA as a Senior Data Engineer and is currently pursuing his PhD in Computer Science and Machine Learning Operations at Carnegie Mellon University. His research interests include Future Internet Architectures, Edge Computing, Machine Learning Operations, Reinforcement Learning, Artificial Intelligence, and Geopolitics.