Army’s mixed reality device set for upgrades and battalion assessment

Sur le même sujet

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  17 juin 2020 | International, Aérospatial, Naval, Terrestre, C4ISR, Sécurité

  Les ministres européens de la Défense appellent à plus de coopération

  Réunis à Bruxelles, les ministres de la Défense européens ont appelé mardi 16 juin à un redémarrage rapide des missions de défense et de sécurité communes momentanément interrompues par la crise du Covid. Ils appellent à aller de l'avant dans les opérations, à renforcer le fonds européen de défense, à aller vers un outil de financement pour pouvoir équiper les armées entraînées comme au Mali et enfin à affermir la base industrielle et technologique de défense européenne afin de réduire toute dépendance dans les secteurs critiques. « Le terme d'autonomie stratégique, longtemps tabou, est désormais accepté de tous, même si tous les pays n'en ont pas la même interprétation de peur d'opposer leur appartenance à l'Otan et à l'Union européenne », explique un membre de l'entourage de la ministre de la Défense Florence Parly aux Echos. Les Echos du 16 juin 2020

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  7 septembre 2021 | International, Aérospatial

  Aeralis Teams With Atkins, Siemens On Jet Trainer Development

  LONDON—UK aerospace startup Aeralis has established teaming agreements with engineering consultancy Atkins and German technology giant Siemens to contribute to the development of its modular jet training aircraft. Siemens will provide software applications to aid the creation of Aerside, Aeralis'...

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  28 novembre 2018 | International, C4ISR

  DARPA, BAE to develop AI for interpreting radio-frequency signals

  By Stephen Carlson Nov. 27 (UPI) -- BAE Systems has been selected by the U.S. Defense Advanced Research Projects Agency to develop machine learning algorithms to decipher radio frequency signals for protection against enemy hacking and jamming attempts. DARPA is awarding BAE $9.2 million for machine learning algorithm development, the company announced on Tuesday, which will build off of adaptive technology that has already been applied to face- and voice-recognition systems and drones operating autonomously for RF signal processing. "The inability to uniquely identify signals in an environment creates operational risk due to the lack of situational awareness, inability to target threats, and vulnerability of communications to malicious attack," Dr. John Hogan, product line director of BAE Systems Sensor Processing and Exploitation division, said in a press release. "Our goal for the RFMLS program is to create algorithms that will enable a whole new level of understanding of the RF spectrum so users can identify and react to any signals that could be putting them in harm's way," Hogan said. Under the Phase 1 contract, BAE will develop the RFMLS as part of its artificial intelligence efforts utilizing technology from DARPA's Communications Under Extreme RF Spectrum Conditions and Adaptive Radar Countermeasures programs. BAE Systems is already working on DARPA's machine learning and artificial intelligence research in RF called the Spectrum Collaboration Challenge. SCC is meant to help alleviate scarcities in available RF spectrum, which would dovetail with work being performed on RFMLS by identifying spectrum that could evade enemy jamming. https://www.upi.com/Defense-News/2018/11/27/DARPA-BAE-to-develop-AI-for-interpreting-radio-frequency-signals/2371543335188/