US prepares to scrap ITAR for AUKUS nations - Army Technology

On the same subject

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  May 6, 2024 | International, Aerospace

  National Geospatial-Intelligence Agency creating space intel hub

  While the Joint Mission Management Center is still in the concept phase, NGA is working quickly to get it up and running.

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  April 22, 2024 | International, Naval

  Navy looks to apply jet readiness gains to surface ship fleet

  Naval Supply Systems Command is turning its focus to boosting surface ship readiness, after a submarine effort informed by the aviation community's wins.

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  July 10, 2019 | International, C4ISR, Other Defence

  Can machine learning decipher an overcrowded radio spectrum?

  By: Kelsey Reichmann The Department of Defense is pursuing a $4.7 million initiative to use machine learning to decipher radio signals. The Defense Advanced Research Projects Agency awarded funding to BAE Systems, a British defense company, for its Controllable Hardware Integration for Machine-learning Enabled Real-time Adaptivity (CHIMERA) solution. The CHIMERA solution uses machine learning to interpret radio frequency signals in crowded electromagnetic spectrum environments. “CHIMERA brings the flexibility of a software solution to hardware,” said Dave Logan, vice president and general manager of Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance Systems at BAE Systems in a news release. “Machine-learning is on the verge of revolutionizing signals intelligence technology, just as it has in other industries.” This contract is contingent on the completion of preset milestones and works alongside the Radio Frequency Machine Learning Systems (RFMLS) program, which was previously awarded to integrate data-driven machine learning algorithms. https://www.c4isrnet.com/artificial-intelligence/2019/07/09/can-machine-learning-decipher-an-overcrowded-radio-spectrum/