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 wins DARPA work
BAE Systems will integrate machine-learning (ML) technology into platforms that decipher radio frequency signals under a $4.7 million contract awarded by DARPA.
The Controllable Hardware Integration for Machine-learning Enabled Real-time Adaptivity (CHIMERA) solution provides a reconfigurable hardware platform for ML algorithm developers to make sense of radio frequency (RF) signals in increasingly crowded electromagnetic spectrum environments.
The company will deliver hardware for the system along with demonstration support.
CHIMERA’s hardware platform will enable algorithm developers to decipher the ever-growing number of RF signals, providing military users with greater automated situational awareness of their operating environment.
Dave Logan, vice president and general manager of C4ISR systems at BAE Systems, said: ‘CHIMERA brings the flexibility of a software solution to hardware. Machine-learning is on the verge of revolutionising signals intelligence technology, just as it has in other industries.’
Other RF functions, including communications, radar, and electronic warfare, also can benefit from the hardware platform, which has a reconfigurable array, front-end, full transceiver and digital pre-processing stage.
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