RFI – Synthetic Data for Training Target Recognition (AiTR) Algorithms

Due Date: Sep 27, 2021 04:00 pm EDT Description: REQUEST FOR INFORMATION: THIS IS NOT A SOLICITATION; The Government is not obligated to make an award as a result of this request. This Request for Information (RFI) is for informational purposes only; this is not a Request for Proposal (RFP). The Government will not pay for information and materials received in response to this RFI and is in no way obligated by the information received.

Category: Opportunity

DoD Communities Of Interest: Big Data

Subject : RFI – Synthetic Data for Training Target Recognition (AiTR) Algorithms

Due Date: Sep 27, 2021 04:00 pm EDT

Government Organization: Army Aberdeen Proving Grounds

Description :

REQUEST FOR INFORMATION: THIS IS NOT A SOLICITATION; The Government is not obligated to make an award as a result of this request. This Request for Information (RFI) is for informational purposes only; this is not a Request for Proposal (RFP). The Government will not pay for information and materials received in response to this RFI and is in no way obligated by the information received.

The information the Government receives in response to this RFI will be discussed and assessed by U.S. Army Combat Capabilities Development Command (DEVCOM), Command, Control, Computers, Communications, Cyber, Intelligence, Surveillance, and Reconnaissance Center (C5ISR Center) Research & Technology Integration Directorate and other Government agencies. All proprietary or competition-sensitive information should be clearly marked for proper protection. Additionally, the Government may use the information provided to develop a future Performance Work Statement, Statement of Objectives and/or Performance-Based Specification(s).

BACKGROUND/DESCRIPTION: The United States Army C5ISR Center is issuing this RFI to determine the state-of-the-art and state-of-industry in synthetic data for training Aided Target Recognition (AiTR) algorithms. In today’s Army, artificial intelligence (AI) based systems are a key component of the future fighting force. These systems will be required to quicken our ability to find, track and action adversary targets. AiTR algorithms are a key component of these systems. A critical factor of these algorithms is the reliance on vast amounts of data needed to train them. One approach to solving this data problem is by using synthetic data to train, or partially train, these algorithms. Synthetic data, as a solution for AiTR model training, has a number of advantages to include a near-infinite supply of data, ability to create data of scarce targets, and limitless ability to model a wide range of environments. C5ISR Center is seeking information on solutions to generate synthetic data for AiTR model training. Solutions of all maturity are being sought from vendors with an interest in developing, maturing, and/or productizing their solution for use in Army systems.

WHITE PAPER SUBMISSION REQUIREMENTS:  C5ISR Center asks interested and capable sources to submit a white paper containing a description of your solution. Responses shall be limited to 25 single-sided pages (excluding cover page, table of contents, and acronym listing pages), minimum 10 pt. New Times Roman font. All responses to this RFI shall be submitted to Arlene Wadkins, mildred.a.wadkins.civ@mail.mil no later than 13 September 2021.

Website : https://sam.gov/opp/3f64d615f7fc469d870883f73386f5ad/view

Questions or assistance, contact:
North Carolina Defense Technology Transition Office (DEFTECH)

 

Dennis Lewis
lewisd@ncmbc.us
703-217-3127

Bob Burton
burtonr@ncmbc.us
910-824-9609

North Carolina Defense Technology Transition Office | PO Box 1748, Fayetteville, NC 2B303