SBIR/STTR Research Award
A New Approach to the Testing & Evaluation of Advanced RF Applications of Deep Learning AI
Award amount
$1,244,053Program and phase
SBIR · Phase IIAward year
2023Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- INFORMATION SYSTEMS LABORATORIES INC
- Proposal award date
- 2023-09-20
- Contract end date
- 2025-09-19
- UEI
- FAK5JKUKRXJ1
- Solicitation number
- 22.1
- Topic code
- AF221-0022
Research abstract
Under this effort ISL will provide the Air Force a comprehensive solution that addresses both the explainable AI (XAI) problem and the test and evaluation (T&E) acceptance problem for a broad class of sensor applications. ISL has developed a novel method
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Threat Emitter Omniscience Suite (THEOS)
- Mapping Complex Sensor Signal Processing Algorithms onto Neuromorphic Chips
- Hardware-in-the-Loop Simulator with Real-Time Adaptive Scenarios
- Rapid Emitter Geolocation
- Virtual RF Target (VRT)
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Statistical Characterization and Operation Readiness assessment of ELINT/SIGINT Deep learning (SCORED)
- Reliable AI Explanations for Testing and Evaluation of RF Systems (RAETERS)
- Statistical Characterization and Operation Readiness assessment of ELINT/SIGINT Deep learning (SCORED)
- Applications of Explainability for RF Machine Learning
- A New Approach to the Testing & Evaluation of Advanced RF Applications of Deep Learning AI
Research funding history
155 SBIR/STTR records share this UEI (1986–2025). Reported award amounts total $67,503,247. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Defense, National Science Foundation, Department of Homeland Security, National Aeronautics and Space Administration, Department of Energy, Department of Education