SOLICITATION NOTICE
A -- Radio Frequency Machine Learning Systems (RFMLS) - Attachment
- Notice Date
- 8/11/2017
- Notice Type
- Presolicitation
- 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
- 7/9/2018
- Point of Contact
- BAA Coordinator
- E-Mail Address
-
HR001117S0043@darpa.mil
(HR001117S0043@darpa.mil)
- Small Business Set-Aside
- N/A
- Description
- 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
- SN04625085-W 20170813/170811232037-ae1eff49d89896b9e8eb5ea4c0d549d5 (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
(may not be valid after Archive Date)
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