Romania launches expansion of air base near Ukraine

Sur le même sujet

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  30 septembre 2019 | International, Aérospatial

  Bell teams with Collins Aerospace to deliver a high-performance solution for U.S. Army Future Attack Reconnaissance Aircraft

  Fort Worth, Texas (September 26, 2019) – Bell Textron Inc., a Textron Inc. (NYSE: TXT) company, announced a teaming agreement with Collins Aerospace Systems, a unit of United Technologies Corp. (NYSE: UTX), as Bell competes for the U.S. Army's Future Attack Reconnaissance Aircraft (FARA) Competitive Prototype program. Bell is designing a vertical lift aircraft, as part of the contract awarded in April of 2019, with advanced performance capabilities and high operational availability to meet the threats faced in multidomain operations. As the mission systems integrator, Collins Aerospace will deliver a new generation of avionics hardware and software featuring cyber-hardened and digital backbone solutions to the prototype. “This team has a lot of experience supporting attack reconnaissance requirements and will deliver a smart, lethal aircraft at an affordable cost,” said Keith Flail, vice president of Advanced Vertical Lift Systems at Bell. “The Army is looking for revolutionary solutions for warfighters and we are confident that our team has the right combination of innovative technology and experience to build an aircraft with transformative capabilities on a compressed timeline.” Collins Aerospace will also provide Model-Based Systems Engineering (MBSE) tools and processes to configure and integrate mission avionics for the FARA. The company's use of the new MBSE methodologies will enable rapid mission capability insertions into the FARA platform. “By teaming with Bell, we can reduce the overall lifecycle costs and risks associated with this next generation of aircraft and effectively meet the FARA objectives in multidomain threat environments,” said Dave Schreck, vice president and general manager for Military Avionics and Helicopters at Collins Aerospace. “With a long history of providing avionics solutions to both Army and Special Operations aviators, Collins Aerospace is uniquely positioned to provide Bell with the cutting-edge cockpit technology necessary to enable warfighter mission success.” Although the configuration has not yet been revealed, the Bell FARA prototype takes advantage of technologies demonstrated on the V-280 Valor, Bell 525 and other Bell programs incorporating expertise in fly-by-wire flight controls, rotors and drives, as well as design to build technology that enhances sustainability, manufacturability and affordability. This team has the experience to produce an affordable, high-performance aircraft at reduced technical risk that will meet or exceed all requirements and provide reliable capability to the warfighter. To learn more about Bell and Future Vertical Lift, please visit https://www.bellflight.com/, and follow us on YouTube, LinkedIn, Twitter, Facebook and Instagram. https://www.collinsaerospace.com/en/newsroom/News/2019/09/bell-teams-collins-deliver-high-performance-solution-us-army-future-attack-reconnaissance-aircraft

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  10 mai 2023 | International, C4ISR

  SENOP receives significant orders from the Finnish Defence Forces for Night Vision and Target Acquisition devices

  Senop will deliver the equipment and lifecycle upgrades to the Finnish Defence Forces between 2023 and 2025

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  18 février 2019 | International, C4ISR

  There’s a Big Obstacle to the Pentagon’s New Strategy to Speed AI to Troops

  BY PATRICK TUCKER Defense officials want to accelerate the delivery of artificial-intelligence tools from the lab to the field. But it's hard to obtain the massive data streams that make AI work. The Pentagon's new artificial-intelligence strategy, released on Tuesday, aims to get AI out of research labs and into the hands of troops and employees across the Defense Department. But truly transforming the Defense Department into an “AI First” institution will require help from tech companies — and the military to rethink its approach to the massive data streams that AI needs to work. In a conversation with reporters on Tuesday, Dana Deasy, chief information officer of the Defense Department, and Lt. Gen. Jack Shanahan, who runs its new Joint Artificial Intelligence Center, said the JAIC will develop AI tools and programs to assist with everything the Pentagon does. That will eventually include combat operations, although both said the military won't deviate from its core doctrine that dictates how humans are to have authority over autonomous systems. They said near-term projects include efforts to predict forest fires, better spot network anomalies that can indicate cyber attacks, and, most prominently, predictive maintenance. It's an area where some smaller tech firms are already working with the Pentagon. SUBSCRIBE Receive daily email updates: Subscribe to the Defense One daily. Be the first to receive updates. One such firm is Uptake, run by GE alum Ganesh Bell, which has a contract with the Defense Innovation Unit to better predict and accelerate repairs for Bradley Fighting Vehicles. The company is building a virtual Bradley, using data streams from sensors on real Bradleys in the field — what Bell has called a learning, digital twin. “We are able to collect what the best-performing Bradley would look like because we are able to go into many of the subsystems and pull the data,” he said. “Just from a single vehicle, we were able to pull terabytes of data.” Bell aims to also incorporate data from external sensors, and use it to digitally recreate the vehicles' operating environments. It's a process that could be relevant to larger military endeavors, such as the Army's effort to design a new combat vehicle, Bell said. “If we prove the value here, imagine what we can do in that environment as we build that system out? We do the same thing in wind turbines. There's so much to learn from all the unused data in these industries; less than one percent of the data is ever actually used.” Bell says that he's had promising conversations with Army officials about helping out. “It's better to get in all the data right now while you're designing the next generation of vehicles,” he said. Or take California-based C3, whose nine Pentagon contracts include predictive-maintenance work on the Boeing E-3 Sentry for the Air Force's AFWERX office. Here, too, massive amounts of diagnostic data plays the essential role. But finding that data wasn't easy. “You go through the wild goose chase with DOD to get the data that you need,” Lt. Col. Dave Harden, AFWERX chief operating officer, said in December. “I had another project where I literally had people with 10-terabyte hard drives going around the country to get the data. I talk to people who are in charge of the data. The data in the database isn't what we needed. I wonder, ‘Who put these people in charge of the data?'” The main thing that the Defense Department brings to the process isn't the algorithms or machine-learning methodologies. Those are increasingly coming from the private sector and companies like Uptake and C3. It's the unique data sets. Thus, if getting that data is a problem, then the Department has a major obstacle in terms of realizing its ambitions. In their briefing on Tuesday, Deasy and Shanahan said they are willing to work with companies on intellectual property issues, which have deterred some companies from taking government contracts. But Shanahan made one condition clear: “The government owns the government's data.” That begs a few questions: How will contractors get the data that they need if the Department is so bad at collecting and keeping it internally? Who owns a datastream that combines private and government data? AFWERX's Harden said getting the Defense Department to change how it collects and makes data available on systems like the E-3 aircraft is less than totally straightforward. Another challenge is getting the department to actually accept AI-generated recommendations. “All of the processes and procedures need to change,” he said. “When I get a prediction now that says, ‘Hey, this aircraft battery, the data shows you were parked in Alaska and it's cold in Alaska and you were there for years. You don't have to swap out this battery on a regular cycle like you're doing,' how are the policy and guidance and procedures changing to allow that to occur? That is our billion-dollar question for DoD. We haven't solved that. How do we get the technology win that we get and turn that into true ROI?” https://www.defenseone.com/technology/2019/02/department-has-rolled-out-its-ai-strategy-now-hard-part-begins/154864/