This Government Contract opportunity from Department Of Defense was posted on June 15, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Machine Learning for Channel Characterization and Code Selection
Contract Overview
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The contract focuses on the development of machine learning models aimed at real-time characterization of communication channels and the adaptive selection of optimal error-correcting codes. These models will address dynamic environmental factors such as noise, interference, and mobility to improve communication reliability and efficiency. The work is to be carried out under a subcontract with the Defense Advanced Research Projects Agency (DARPA), part of the Department of Defense. The solicitation was posted on June 15, 2026, with a response deadline set for July 1, 2026. It falls under the NAICS code 541715, which pertains to research and development in the physical, engineering, and life sciences. While the contract details do not specify organization type or place of performance, the effort is geared toward advancing defense-related communication systems through cutting-edge machine learning approaches.
General Info
Agency
NAICS
Place of Performance
VASet-Aside
Documents
This scope was carved out of DARPA-SN-26-92.
The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.
Lightweight Universal Codec (LUC) Proposers Day
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Timeline
Submission Closed
Organization & Contact Information
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