I2WD posts RFI for AI, machine learning capabilities for C4ISR

On May 15, the U.S. Army Intelligence and Information Warfare Directorate posted a request for information for Artificial Intelligence and Machine Learning Techniques, Algorithms, and Capabilities for U.S. Army Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance and Electronic Warfare Applications (Solicitation Number: W56KGU-18-X-A515). Responses are due by 5:00 p.m. Eastern on June 6.

The purpose of this notice is for the Government to obtain market research information and gain an understanding of the marketplace. I2WD is seeking information from academia, industry and other Government agencies regarding both internally-funded Independent Research & Development (IR&D) efforts and externally funded (contract or grant) efforts on artificial intelligence (AI), machine learning (ML), cognitive computing (CC) and data analytics (DA) techniques, algorithms, and capabilities that have application to R&D areas at I2WD: electronic warfare (EW); intelligence, surveillance and reconnaissance (ISR) / reconnaissance, surveillance and target acquisition (RSTA); offensive cyber operations (OCO); signals intelligence (SIGINT); and processing, exploitation & dissemination (PED) / big data analytics.


The U.S. Army CERDEC I2WD established a CC/ML Tiger Team in March 2017 to help identify AI technologies that have the potential to enhance operational effectiveness and efficiencies within I2WD functional mission areas, across U.S. Army operations, and for Joint U.S. and coalition force operations. AI/ML/CC/DA are all topics of interest to engineers and scientists within several divisions at I2WD; the Tiger Team’s goal is to act as the focal point of all AI related activities and expertise within each Division at I2WD.

I2WD is interested in gaining greater insight into the state of the art in AI techniques, algorithms and capabilities. This will help to determine the areas of AI research that have Technology Readiness Levels suitable for investment and eventual integration into the next generation of Army SIGINT/Cyber/EW/ISR systems. Mature AI systems, tools and/or capabilities that can be applied to current I2WD or PM managed programs to increase performance are also of interest.

Full information is available here.

Source: FedBizOpps

  • Randy Baadhio
    May 19, 2018 - 5:20 pm

    I am happy to help with this important initiative. I suggest consultation with the NIST lab working on Plants plasma physics lab in Princeton, National Science, possibly the department of energy scientific community.

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