The Missile Defense Agency’s $8.9B budget request focuses on next-gen defense

On the same subject

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  March 22, 2023 | International, Other Defence

  How the war in Ukraine is driving growth in Arkansas

  The city of Camden is hoping to expand as defense contractors there ramp up production to supply arms to Ukraine and replenish American stockpiles.

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  December 26, 2022 | International, C4ISR

  Q&A: Army’s Jennifer Swanson talks data mesh and digital fluency

  Jennifer Swanson spoke to C4ISRNET on the sidelines of the Army’s Technical Exchange Meeting 9, a military network-and-communications forum in Tennessee.

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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/