SBIR/STTR Research Award

Large Volume Dataset Analysis Through High-Performance Compute (Hardware and Software) Using Machine Learning

Award identifier 10a1be514c0ee62ecad5b72ef584cc7a7d29778a0a25cae513783720143bc0b1Awarding agency Department of Defense · Air Force

Award amount

$140,226

Program and phase

SBIR · Phase I

Award year

2019

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
MainStem LLC
Proposal award date
2019-03-06
Contract end date
2019-06-04
UEI
SXHHGF88NPK4
Solicitation number
19.1
Topic code
AF191-009

Research abstract

The overall research objective is to demonstrate advanced heterogenous computing solutions using widely available and relatively inexpensive commercial off the shelf technology. This solution will minimize SWaPC requirements for AI/ML applications, affording access to AI/ML solutions on the edge or accelerated performance of existing infrastructure. This solution will demonstrate the benefits of a heterogeneous compute environment to image processing and data analysis like packet capture (PCAP).

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

3 SBIR/STTR records share this UEI (2019–2020). Reported award amounts total $963,748. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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