Recurrent neural network processing in-pixel for efficient low energy heterogeneous systems (RPIXELS)
Ended Other Transaction Agreement Awarded Last action
- Contract number
- HR00112190120
- Awardee
-
University Of Southern California UEI G88KLJR3KYT5
- Awarding agency
-
Defense Advanced Research Projects Agency
Department of Defense
- Obligated
- $998,943
Award facts
- Contract value 100% obligated
- $998,943.00 Current and potential, with all options
- Completion date 100% complete
- Current and potential, with all options
- NAICS code
- Not on record
- Set-aside
- No set-aside
- Competition
- Competed Program Solicitation
- Pricing
- Other
- Place of performance
- Dockweiler, CA 90007, USA
Award details come from SAM.gov/FPDS.
Transactions
| Action | Obligated | Date |
|---|---|---|
| Funding Only Action | $499,295 | |
| Original award | $499,648 |
About this award
The University of Southern California Department of Contracts and Grants Division, doing business as USC, has been awarded a $998,943 Other Transaction Agreement by the Defense Advanced Research Projects Agency (DARPA) to conduct research in recurrent neural network processing-in-pixel for efficient low energy heterogeneous systems (RPIXELS). As the prime contractor, USC will perform the work at its Dockweiler, California location from August 2021 through February 2023. DARPA's high-level goal is to develop new artificial intelligence and machine learning technologies to support national security applications. This award seeks to advance on-chip neural network processing capabilities in a low-power manner suitable for deployment on heterogeneous edge systems.
Quick answers
Who was awarded contract HR00112190120?
HR00112190120 was awarded to University Of Southern California by Defense Advanced Research Projects Agency (Department of Defense) on August 2, 2021.
How much is contract HR00112190120 worth?
The government has obligated $998,943 on HR00112190120.
Was contract HR00112190120 competed?
The extent of competition for HR00112190120 was competed.
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