DARPA seeks AI, ML RF solutions
On October 19, the Defense Advanced Research Projects Agency (DARPA) posted a request for information (RFI) from DARPA’s Microsystems Technology Office (MTO) that seeks to identify organizations with experience applying artificial intelligence (AI) and machine learning (ML) to radio frequency (RF) signals for defense applications. Responses are due by 5:00 p.m. Eastern on November 10.
Applying ML technology to RF problems presents several unique challenges, including the high volume of input data, dynamics of the propagation environment, the complexity of controlling modern receivers and transmitters, and the computational constraints of embedded systems. Addressing these challenges requires RF domain-specific insights, which may include novel ML architectures, curation of RF training data sets through preprocessing and synthetic data augmentation, hybrid processing pipelines integrating traditional signal processing functions, network optimization for embedded processors, and advanced resource management techniques.
DARPA seeks information on organizations’ prior research addressing these and related technical challenges in the RF domain. As applied research for specific defense applications may require access to classified data, responders should describe their organizational capability to conduct classified research.
DARPA seeks background information on organizations with the capability to perform RF ML research for defense applications. Responses are welcome from all capable sources including, but not limited to, private or public companies, individuals, DARPA-SN-22-04 2 universities, university-affiliated research centers, not-for-profit research institutions, and U.S. Government-sponsored labs.
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