SOURCES SOUGHT
99 -- Machine Learning Algorithms
- Notice Date
- 10/18/2021 7:53:23 AM
- Notice Type
- Sources Sought
- Contracting Office
- SCI TECH ACQ DIV WASHINGTON DC 20528 USA
- ZIP Code
- 20528
- Solicitation Number
- DHS-TST-FY22
- Response Due
- 10/29/2021 2:00:00 PM
- Archive Date
- 11/13/2021
- Point of Contact
- Jenista Tobias
- E-Mail Address
-
jenista.tobias@hq.dhs.gov
(jenista.tobias@hq.dhs.gov)
- Description
- The Department of Homeland Security (DHS), Science and Technology Directorate (S&T), Technology Scouting & Transition (TST) division conducts various types of market research in support of DHS components. The TST Tech Scouting (TS) program seeks information on potential technology solutions and the general ability of the market to provide solutions to the identified gap. Topics can be highly unique and varied based on the mission of the DHS operational components. The purpose of this Request for Information (RFI) is to gather information on solutions related to tools, processes, and methodologies to efficiently assess the performance of automated threat recognition (ATR) algorithms employing Machine Learning (ML) for use with security screening systems. This is NOT a solicitation for proposals, proposal abstracts, or quotations. This is not an acquisition or associated with an acquisition. The Government does NOT intend to award a contract on the basis of this RFI or to otherwise pay for the information solicited. Information is to be submitted through the DOD Vulcan web-based platform only. NO classified or proprietary information should be submitted in response to this RFI. Please reference the attached RFI for further details.
- Web Link
-
SAM.gov Permalink
(https://beta.sam.gov/opp/8c6ca45b89614af4b3e03fa9e69138e5/view)
- Record
- SN06159700-F 20211020/211018230117 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
(may not be valid after Archive Date)
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