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Radio Frequency Machine Learning Systems (RFMLS)

ID: HR001117S0043 • Type: Presolicitation

Description

Posted: Oct. 4, 2017, 2:40 p.m. EDT
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.
Posted: Sept. 29, 2017, 12:00 p.m. EDT
Posted: Aug. 11, 2017, 1:50 p.m. EDT

Overview

Response Deadline
Oct. 10, 2017, 1:00 a.m. EDT Past Due
Posted
Aug. 11, 2017, 1:50 p.m. EDT (updated: Oct. 4, 2017, 2:40 p.m. EDT)
Set Aside
None
Place of Performance
Not Provided
Source
SAM

Pricing
Likely Cost Plus
Est. Level of Competition
High
Odds of Award
46%
On 8/11/17 Defense Advanced Research Projects Agency issued Presolicitation HR001117S0043 for Radio Frequency Machine Learning Systems (RFMLS) due 10/10/17. The opportunity was issued full & open with NAICS 541712 and PSC A.
Primary Contact
Name
BAA Coordinator HR001117S0043@darpa.mil
Email
Phone
None

Documents

Posted documents for Presolicitation HR001117S0043

Question & Answer

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Additional Details

Source Agency Hierarchy
DEPT OF DEFENSE > DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA) > DEF ADVANCED RESEARCH PROJECTS AGCY
FPDS Organization Code
97AE-HR0011
Source Organization Code
500035490
Last Updated
July 6, 2018
Last Updated By
PI33_DR_IAE_51681
Archive Date
July 6, 2018