SBIR/STTR Research Award
LEARN (Learning, Evaluating and Applying algoRithms to test Network systems)
Award amount
$111,500Program and phase
SBIR · Phase IAward year
2020Award details
- Awarding agency
- Department of Defense
- Branch
- Army
- Recipient company
- Intelligent Automation, Inc.
- Proposal award date
- 2020-05-28
- Contract end date
- 2021-07-03
- UEI
- C3QJD7VXG167
- Solicitation number
- 20.1
- Topic code
- A20-033
Research abstract
Recent advances in the areas of artificial intelligence/ machine learning/deep learning (AI/ML/DL) have provided the opportunity for the incorporation of novel learning algorithms to improve test planning and reduce validation/verification of test infrastructure prior to test execution. We propose to build LEARN: Learning, Evaluating and Applying Algorithms to test Network System. LEARN incorporates the key modular components of descriptive, prescriptive and predictive models.
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.
- Fast Accurate Safe Technology for Jack to Jig (FastJack)
- VMS: Deep Reinforcement Learning for High-fidelity Vehicle Motion Simulation
- VAST-CQA: Video Annotation and Statistics Toolkit for Crowdsourcing Quality Assessment
- SALUTEM: System for Activity Classification and Occupational Exposure Monitoring
- A Multiphysics Analysis Tool for Autoclave Processing of Composite Parts (MATAPro)
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
Research funding history
1,182 SBIR/STTR records share this UEI (1987–2021). Reported award amounts total $369,972,257. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Transportation, Department of Health and Human Services, National Science Foundation, Department of Homeland Security