Army RCO Signal Classification Challenge

Added: Apr 27, 2018 2:13 pm

This special notice announcement is for conducting an Artificial Intelligence (AI) Signal Classification challenge in support of the Army Rapid Capabilities (RCO). The Army RCO desires to incentivize Participants in providing new ideas and promoting innovation in the AI Signal Classification domain. Specifically, the Army RCO is in pursuit of innovative solutions for fighting in an increasingly dense electromagnetic environment against adversaries with well-developed electronic warfare (EW) capabilities. The Army RCO intends to make Prize awards for 1st, 2nd, and 3rd place submissions in accordance with the criteria outlined in the attached special notice announcement.
The challenge submission period will be open from April 30, 2018 until July 30, 2018. However, the Government reserves the right to modify the open period and may introduce hurdle submission periods throughout the challenge. Any modifications to the open period or introduction of hurdle submission periods will be publicized by amending this notice and publishing updates on FBO and Challenge.gov (http://www.challenge.gov/challenge/army-signal-classification-challenge).

The challenge announcement will be posted on Challenge.gov at http://www.challenge.gov/challenge/army-signal-classification-challenge, which will direct interested parties to the official challenge site at https://sites.mitre.org/armychallenge/.
Please see https://sites.mitre.org/armychallenge/, for full details.

In addition to the awards made as a result of participation in the Army RCO AI Signal Classification Challenge, the Government intends to solicit proposals for additional funding opportunities for prototyping projects based on the availability of funds, basis for award, and criteria established under BAA W56JSR-18-S-0001. Requests for proposals will be by invitation only to selected participants.

BAA W56JSR-18-S-0001 maybe accessed at https://www.fbo.gov/index?s=opportunity&mode=form&id=36a3bb9d1475e38ce25152eee8bf83bd&tab=core&_cview=1