SBIR/STTR Research Award
Artificial Intelligence (AI)-based C2 Digital Assistant
Award amount
$79,718Program and phase
SBIR · Phase IAward year
2017Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- LEVEREGE LLC
- Proposal award date
- 2016-12-29
- Contract end date
- 2017-10-28
- UEI
- KJ8ALXMY1HL8
- Solicitation number
- 2016.2
- Topic code
- N162-074
Research abstract
The Marine Corps seeks to employ advanced artificial intelligence (AI) technologies for its CAC2S program to reduce information overload, improve situational awareness (SA) and collaboration, and aid in Commander decision-making. Leverege will use its unrivaled subject matter expertise in CAC2S and its deep experience with cutting-edge machine learning techniques to research and test the optimal algorithms for the AI-based digital assistant. Our research and development will identify the areas that need to be addressed, propose and study alternative solutions, and provide simulated but relevant input to test our hypotheses against known CAC2S use cases. Our proposed technical solution is a modified version of Googles SyntaxNet and TensorFlow; an open-source AI framework that implements a feedforward neural network with a greedy transition-based parser. The open-source nature of those frameworks allows us to ultimately build an embedded AI system that can be installed on a classified CAC2S network without a connection to the Internet.
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- C2 Interactive and Context-Aware Digital Assistant (CICADA)
- C2-ASSIST: A Command and Control Assistant for Marine Commanders