SBIR/STTR Research Award
Volume Independent Analytics for Discovery of Unseen Correlations via Tensors (VIADUCT)
Award amount
$150,000Program and phase
SBIR · Phase IAward year
2017Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- Reservoir Labs, Inc.
- Proposal award date
- 2017-08-03
- Contract end date
- 2018-05-03
- UEI
- J4DVUAMQJMW7
- Solicitation number
- 2017.1
- Topic code
- AF171-048
Research abstract
Volume Independent Analytics for Discovery of Unseen Correlations via Tensors (VIADUCT) introduces an unsupervised learning technique suitable for discovering previously unknown patterns-of-life and patterns-of-activity in multi-INT Big Data. This effort
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.
- MDA21-021 - Salvo Management Using Artificial Intelligence
- Correlating and Analyzing Network Data through Interpretable Decompositions (CANDID)
- Technologies for Sharing Network Performance Data (TEECODE)
- GEO-M2M: GEOmaterials' Microscopic TO Macroscopic (electromagnetic response)
- Portacy: Enabling Advanced Exascale Mapping Tool to Assist in Porting Legacy Codes
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- DDABI: Data Driven Activity Based Intelligence with Dynamic Knowledge Graph
- Volume Independent Analytics for Discovery of Unseen Correlations via Tensors (VIADUCT)
- Data Driven Activity Based Intelligence with Probalistic Knowledge Graph
Research funding history
71 SBIR/STTR records share this UEI (2004–2022). Reported award amounts total $38,801,244. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, Department of Energy