9 août 2023 | International, Aérospatial

Italy Air Force hauls an F-35 contingent to Japan for first-ever drill

The training visit comes as the two countries look to develop a sixth-generation warplane, dubbed GCAP, along with Britain.


Sur le même sujet

  • Why the Pentagon’s cyber innovation could fall behind

    27 décembre 2018 | International, C4ISR

    Why the Pentagon’s cyber innovation could fall behind

    By: Justin Lynch Silicon Valley is the home to the transistor and the birthplace of the IT industry. Boston is the home of prominent universities and technology companies such as Raytheon and Boston Scientific. So where will the country's hub of cybersecurity innovation reside? A new paper argues that a nucleus of new cybersecurity technologies may struggle to form in the United States. Because the Department of Defense's research facilities are dispersed throughout the country and located in smaller metropolitan regions, the Army is in danger of stagnating when it comes to technology innovation, a Dec. 18 paper in the Army's Cyber Defense Review argued. “Without immediate, bold action, the Army will miss its best opportunity to seize the initiative in the current Cyber Cold War,” wrote Col. Stoney Trent, an Army official who now works for the Pentagon's top IT officer in the Joint Artificial Intelligence Center. “The Secretary of Defense fully understands the need for dramatic improvement, and fifteen years of Army acquisition failures have created the crisis necessary for change.” Trent took aim at the Army's decision to move its cyber headquarters to Fort Gordon, Georgia, saying it “lacks most of the characteristics that have attracted technologists to other innovation regions.” “Limited public infrastructure and services, sparse employment options, a humid subtropical climate, a lack of a private research university, and distance from urban centers will likely delay the emergence of innovative technologists in Augusta-Richmond County,” he wrote. The state of Georgia, which is partnering with the Army on innovation near Fort Gordon, opened the first phase of a planned a $100 million dollar center earlier this year. But while Trent argued that the Army has “limited input over the location of its installations and major activities,” because basing decisions are made by Congress, the dispersed locations are not ideal for improving the Pentagon's cyber prowess. “Due to the location of Army research activities, very few scientists and engineers have access to the operators and analysts who will have to use the technologies under development,” he wrote. On the contrary, large cities are engines of innovation because they have more local resources, a higher degree of subject area experts and a larger local workforce, Trent argued. “This exponential increase in innovation is related to social networks and access to ideas, resources, and expertise in more populated urban settings.” That makes locations like Moffett Air Field in Santa Clara County near Silicon Valley, Fort Devens near Boston, and Fort Hamilton in New York City as potential hubs that “have been left fallow,” Trent argued. “Decades of studies indicate the importance of a culture of experimentation. While our adversaries are experimenting, we must not dither.” https://www.fifthdomain.com/dod/2018/12/26/why-the-pentagons-cyber-innovation-could-fall-behind

  • How Much Does It Cost To Insure A Russian-Made Stealth Drone?

    8 juin 2020 | International, Aérospatial

    How Much Does It Cost To Insure A Russian-Made Stealth Drone?

    David Axe The Russian defense ministry has insured its new stealth drone and its control station for 1.4 billion rubles. That's $20 million. And it's probably worth every ruble. The S-70 Hunter-B, a jet-powered flying-wing drone, perhaps is the most significant new warplane to emerge in Russia since the Su-57 stealth fighter that first flew in 2010 and now is in low-rate production. The Hunter-B first appeared in January 2019 on the ground at an airfield in Novosibirsk in southern Russia. It flew for the first time on Aug. 3, 2019. The Sukhoi-designed drone zoomed over the airfield for more than 20 minutes at a maximum altitude of around 2,000 feet, according to TASS, the state news organization that also reported the value of the robot's insurance. It's easy to dismiss the Hunter-B as a developmental dead-end, owing to Russia's poor track record when it comes to fielding unmanned aerial vehicles and the satellite infrastructure that helps controllers on the ground direct a UAV's flight. But the likelihood of Hunter-B eventually entering front-line service with the Russian air force is "big," said Tom Cooper, an author and independent expert on Russian military. "The Russian military is running multiple UAV-related projects," Cooper said. "Thus the emergence of this project is perfectly normal." "At this point, it is going to be the heaviest and fastest UAV [in Russian service] if and when fielded,” said Samuel Bendett, an analyst with the Center for a New American Security in Washington, D.C. Bendett estimated the Hunter-B's weight at around 20 tons and its top speed at more than 600 miles per hour. The drone is in the same class as a manned lighter fighter. The Russian air force reportedly is considering assigning Hunter-Bs as robotic wingmen for Su-57 pilots, extending the coverage of an Su-57 flight's sensors and adding to the manned pilots' firepower. On Sept. 27, the sole Hunter-B prototype flew in formation with an Su-57. The U.S., Japanese and Australian air forces are developing their own wingman drones. But Sukhoi has its work cut out for it completing the Hunter-B. “A a host of aerodynamic, electronic and high-tech issues need to be worked out,” Bendett said. And to be stealthy, the drone needs a new engine layout. In its current configuration, the Hunter-B's AL-31F motor projects from the rear of the airframe, creating a major source of radar reflectivity. Sukhoi has tinkered with a new version of Hunter-B that buries that engine deep inside the airframe, in the same way that Western firms do with their own stealth drones. As the high-stakes development continues, Sukhoi at least can take comfort that its drone is fully insured. https://www.forbes.com/sites/davidaxe/2020/06/05/how-much-does-it-cost-to-insure-your-russian-made-stealth-drone/#5a88c68023aa

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

    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/

Toutes les nouvelles