MODIFICATION
A -- Radio Frequency Machine Learning Systems (RFMLS)
- Notice Date
- 10/4/2017
- Notice Type
- Modification/Amendment
- NAICS
- 541712
— Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)
- Contracting Office
- 675 North Randolph Street Arlington, VA 22203
- ZIP Code
- 22203
- Solicitation Number
- HR001117S0043
- Response Due
- 10/10/2017
- Archive Date
- 7/6/2018
- Point of Contact
- BAA Coordinator
- E-Mail Address
-
HR001117S0043@darpa.mil
(HR001117S0043@darpa.mil)
- Small Business Set-Aside
- N/A
- Description
- Amendment 02: The purpose of this amendment is to correct typos in Amendment 01 regarding the proposal submission due date as highlighted in yellow in the attached BAA document. Amendment 01: The purpose of this amendment is to revise the BAA in accordance with responses to the posted FAQ. Original Synopsis Below. The goal of the RF Machine Learning Systems (RFMLS) program is to develop the foundations for applying modern data-driven Machine Learning to the RF Spectrum domain as well as to develop practical applications in emerging spectrum problems which demand vastly improved discrimination performance over today's hand-engineered RF systems. Ultimately these innovations will result in a new generation of RF systems that are goal-driven and can learn from data rather than being hand-engineered by experts.
- Web Link
-
FBO.gov Permalink
(https://www.fbo.gov/spg/ODA/DARPA/CMO/HR001117S0043/listing.html)
- Record
- SN04705959-W 20171006/171004231125-316145bdc59defc188e300f8b3ca5a1d (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
(may not be valid after Archive Date)
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