Babcock nears first customer for Nomad AI translation tool
Nomad can provide militaries with real-time intelligence, saving critical time on the battlefield.
BAE Systems has been awarded a $13.3 million contract modification from the US Defense Advanced Research Projects Agency (DARPA) to extend work on its Adaptive Radar Countermeasures (ARC) project, the company announced on 3 November.
The contract modification covers the third phase of the ARC programme, under which BAE Systems will perform the planned completion of algorithm development, advanced readiness testing, and key milestones to transition ARC technologies to critical airborne warfare platforms, such as fifth-generation fighter jets.
The ARC programme is building cognitive electronic warfare (EW) technologies that employ advanced signal processing, machine learning techniques and intelligent algorithms.
The technologies will help overcome limitations in current EW systems that rely on a database of known threats with predefined countermeasures. This limits their ability to quickly adapt to new and advanced threats. To ensure mission success in future anti-access/area denial environments, EW systems will need to isolate unknown hostile radar signals in dense electromagnetic environments, and then rapidly generate effective electronic countermeasures.
Louis Trebaol, ARC program manager at BAE Systems, said: 'The Phase 3 award from DARPA recognises the progress our team delivered at the end of Phase 2. In Phase 2, we successfully demonstrated the ability to characterise and adaptively counter advanced threats in a closed-loop test environment. We will now continue to mature the technology and test it against the most advanced radars in the US inventory in order to successfully transition this important technology to the warfighter.'
With this extension, BAE System's ARC contract value adds up to $35.5 million.
 
                
                Nomad can provide militaries with real-time intelligence, saving critical time on the battlefield.
 
                
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