SBIR/STTR Research Award

MEMES: Machine Learning for Mission Environment Support

Award identifier 095a3f388dc5ae1815ce202126e1b3d58b8a56c0464d42cc98cad9275b21f4a3Awarding agency Department of Defense · Army

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2018

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
Intelligent Automation, Inc.
Proposal award date
2018-09-10
Contract end date
2019-03-09
UEI
C3QJD7VXG167
Solicitation number
2018.1
Topic code
A18-037

Research abstract

We propose MEMES (Machine Learning for Mission Environment Support) to assess applicability of machine learning (ML) algorithms for mission command tasks and tailor ML algorithms to operational needs. Mission tasks (such as resource allocation, threat identification, and waypoint determination) are complex in terms of data (such as RF, cyber, mobility, video, and image) and decision-making process (such as classification, detection and prediction). MEMES will analyze a wide range of machine learning algorithms for mission command tasks. assess mission command tasks in terms of their technical objective, response time criticality, target accuracy, types of data, and then identify appropriate ML algorithms for their implementation. MEMES will also develop models to estimate cost, benefit, and risk of using machine learning solutions for mission tasks to assess the feasibility.

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.

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

Agency intelligence

Department of Defense

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