27 septembre 2023 | International, Terrestre
Australian airmen also made stops in the Philippines and Japan to train with allied air forces in the region.
20 mai 2022 | International, Terrestre
Polaris is preparing its Arctic kit for the MRZR Alpha as part of a deal with U.S. Special Operations Command to supply lightweight tactical all-terrain vehicles.
2 juillet 2019 | International, Terrestre
ARLINGTON, VA, June 28, 2019 -- Leonardo DRS, Inc. announced today that it has been selected by the U.S. Army to demonstrate its On-Board Vehicle Power (OBVP) technology on Terminal High Altitude Area Defense (THAAD) missile battery command and control, and launcher vehicles. The system improvements will give air defense operators immediate access to electrical power directly from a vehicle's power train. Full article: https://www.leonardodrs.com/news-and-events/press-releases/leonardo-drs-to-integrate-on-board-vehicle-power-systems-on-thaad-vehicles/
10 juillet 2019 | International, C4ISR, Autre défense
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/