LR2: Learning Robust Representations
Award Notice Posted
- Solicitation number
- HR001119S0026
- Agency
-
Defense Advanced Research Projects Agency
Department of Defense
- Awarded
- Set-aside
- No set-aside
Opportunity facts
- Contract number
- HR00112020009
- NAICS code
- 541715 Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Place of performance
- Arlington, Virginia 22203, United States
Notice details come from SAM.gov. Updated .
About this opportunity
The University of Southern California was awarded a $4,859,694 contract by the Defense Advanced Research Projects Agency on November 4, 2019 to develop techniques enabling machine learning models to learn representations of data that generalize well and are robust to distribution shifts or corruptions under a one-year contract ending November 4, 2020. The contract, number HR00112020009, aims to advance the agency's work on artificial intelligence and machine learning technologies by researching how to train models to learn robust representations of information over the course of the awarded yearlong agreement.
Notice text
Awarded contract HR00112020009 to UNIVERSITY OF SOUTHERN CALIFORNIA for 4859694.00 on 2020-01-30.
Notice history
| Notice | Type | Posted |
|---|---|---|
| This notice | Award Notice | |
| Guaranteed Robust Artificial InteLligence (GRAIL) | Award Notice | |
| Scalable and Composable Adversarial Robustness Framework (SCARF) | Award Notice | |
| Guaranteeing AI Robustness Against Deception (GARD) Award Notice | Award Notice | |
| Guaranteeing AI Robustness against Deception (GARD) | Pre-Solicitation |
5 of 7 notices listed here. See the rest on GovTribe.
On GovTribe
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