Lockheed nabs $59 million order for Stryker cyber, electronic warfare suite

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  9 mai 2019 | International, Aérospatial, Autre défense

  DARPA: Training AI to Win a Dogfight

  Artificial intelligence has defeated chess grandmasters, Go champions, professional poker players, and, now, world-class human experts in the online strategy games Dota 2 and StarCraft II. No AI currently exists, however, that can outduel a human strapped into a fighter jet in a high-speed, high-G dogfight. As modern warfare evolves to incorporate more human-machine teaming, DARPA seeks to automate air-to-air combat, enabling reaction times at machine speeds and freeing pilots to concentrate on the larger air battle. Turning aerial dogfighting over to AI is less about dogfighting, which should be rare in the future, and more about giving pilots the confidence that AI and automation can handle a high-end fight. As soon as new human fighter pilots learn to take-off, navigate, and land, they are taught aerial combat maneuvers. Contrary to popular belief, new fighter pilots learn to dogfight because it represents a crucible where pilot performance and trust can be refined. To accelerate the transformation of pilots from aircraft operators to mission battle commanders — who can entrust dynamic air combat tasks to unmanned, semi-autonomous airborne assets from the cockpit — the AI must first prove it can handle the basics. To pursue this vision, DARPA created the Air Combat Evolution (ACE) program. ACE aims to increase warfighter trust in autonomous combat technology by using human-machine collaborative dogfighting as its initial challenge scenario. DARPA will hold a Proposers Day for interested researchers on May 17, 2019, in Arlington, Virginia. “Being able to trust autonomy is critical as we move toward a future of warfare involving manned platforms fighting alongside unmanned systems,” said Air Force Lt. Col. Dan Javorsek (Ph.D.), ACE program manager in DARPA's Strategic Technology Office (STO). “We envision a future in which AI handles the split-second maneuvering during within-visual-range dogfights, keeping pilots safer and more effective as they orchestrate large numbers of unmanned systems into a web of overwhelming combat effects.” ACE is one of several STO programs designed to enable DARPA's “mosaic warfare” vision. Mosaic warfare shifts warfighting concepts away from a primary emphasis on highly capable manned systems — with their high costs and lengthy development timelines — to a mix of manned and less-expensive unmanned systems that can be rapidly developed, fielded, and upgraded with the latest technology to address changing threats. Linking together manned aircraft with significantly cheaper unmanned systems creates a “mosaic” where the individual “pieces” can easily be recomposed to create different effects or quickly replaced if destroyed, resulting in a more resilient warfighting capability. The ACE program will train AI in the rules of aerial dogfighting similar to how new fighter pilots are taught, starting with basic fighter maneuvers in simple, one-on-one scenarios. While highly nonlinear in behavior, dogfights have a clearly defined objective, measureable outcome, and the inherent physical limitations of aircraft dynamics, making them a good test case for advanced tactical automation. Like human pilot combat training, the AI performance expansion will be closely monitored by fighter instructor pilots in the autonomous aircraft, which will help co-evolve tactics with the technology. These subject matter experts will play a key role throughout the program. “Only after human pilots are confident that the AI algorithms are trustworthy in handling bounded, transparent and predictable behaviors will the aerial engagement scenarios increase in difficulty and realism,” Javorsek said. “Following virtual testing, we plan to demonstrate the dogfighting algorithms on sub-scale aircraft leading ultimately to live, full-scale manned-unmanned team dogfighting with operationally representative aircraft.” DARPA seeks a broad spectrum of potential proposers for each area of study, including small companies and academics with little previous experience with the Defense Department. To that end, before Phase 1 of the program begins, DARPA will sponsor a stand-alone, limited-scope effort focused on the first technical area: automating individual tactical behavior for one-on-one dogfights. Called the “AlphaDogfight Trials,” this initial solicitation will be issued by AFWERX, an Air Force innovation catalyst with the mission of finding novel solutions to Air Force challenges at startup speed. The AFWERX trials will pit AI dogfighting algorithms against each other in a tournament-style competition. “Through the AFWERX trials, we intend to tap the top algorithm developers in the air combat simulation and gaming communities,” Javorsek said. “We want them to help lay the foundational AI elements for dogfights, on which we can build as the program progresses.” AFWERX will announce the trials in the near future on its website: https://www.afwerx.af.mil/. For ACE Proposers Day registration details, please visit: https://go.usa.gov/xmnMn https://www.darpa.mil/news-events/2019-05-08

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  10 juillet 2020 | International, Aérospatial, C4ISR

  Air Force Expands AI-Based Predictive Maintenance

  By THERESA HITCHENSon July 09, 2020 at 4:23 PM WASHINGTON: The Air Force plans to expand its “predictive maintenance” using artificial intelligence (AI) and machine learning to another 12 weapon systems, says Lt. Gen. Warren Berry, deputy chief of staff for logistics, engineering and force protection. “I continue to believe that predictive maintenance is a real game changer for us as an Air Force,” he told the Mitchell Institute today. “There's a lot of power in moving unscheduled maintenance into scheduled maintenance, and we're firmly convinced that it will improve our readiness and improve our combat capabilities by doing so.” “We have long been a fly-to-fail force,” he explained, simply waiting for aircraft to quit working and then trying to fix them by moving parts to wherever the planes were grounded. But today's unpredictable and relatively slow approach to getting fighters and bombers back in the air simply won't be possible in future conflicts, as Russian and China seek to degrade US communications including via cyber attacks and attacks on US bases. The service has made “logistics under attack” one of its key priorities as it shifts focus to deal with globalized peer conflict, asking for $3 billion in 2021 to fund various efforts. Berry noted that the Air Force is “talking to” the Joint Artificial Intelligence Center (JAIC) about best practices and lessons learned as it pushes ahead with its two key predictive maintenance initiatives: “condition-based maintenance plus (CBM+) and “enhanced reliability centered maintenance (ERCM). The service has been using CBM+, which involves monitoring platforms on three aircraft: the C-5, the KC-135 and the B-1. “They've been doing it for about 18 to 24 months now, and we're starting to get some real return on what it is that the CBM+ is offering us,” he said. ERCM, he explained, “is really laying that artificial intelligence and machine learning on top of the information systems that we have, the maintenance information system data, that we have today, and understanding failure rates and understanding mission characteristics of the aircraft and how they fail,” he said. While he said he didn't have the list at his fingertips, Berry said the dozen weapon systems being integrated would come under the ERCM effort by the end of the year. Berry said that there are a number of other changes to how the Air Force does logistics that will require future focus, especially the question of how best to preposition supplies in the European and Pacific theaters. He noted that the Pacific region presents particular problems because of the wide geographic dispersement of allies there. “I think we need to fundamentally change how we think about prepositioning our assets,” he said. “And that really does require partners and allies, in not just prepositioning the material and equipment, but prepositioning capacity and capability — whether that's through operational contracting support or whether that's through things that are actually on the installation that we can take advantage of.” “We're not going to be able to bring what we could bring in the past,” he added, “and so much of what we are going to use is probably going to have to be there.” This is going to require new ways to partner with allies and friendly nations in those regions, he said, noting that the European Deterrence Initiative and the Pacific Deterrence Initiative might help. “But, we're gonna have to make those a little bit more foundational moving forward,” he said. Finally, Berry stressed that improved command and control is going to be the base of all of the Air Force's efforts to establish “adaptive operations and agile combat employment” — concepts for operating in a distributed manner from a large number of small operating locations in a peer conflicts. As a 2019 study on “distributed operations” by RAND explains, “this type of distributed air operations in a contested environment represents a significant shift in the way the Air Force has operated since the end of the Cold War.” Berry said that “Log C2” is related to Joint All Domain Command and Control (JADC2), another top Air Force priority as Breaking D readers are well aware. “JADC2 is about having the decision advantage in multi- domain operations, and so in the log enterprise sustainment we want to have that same decision advantage in order to support multi-domain operations because sustainment and logistics follows operators,” he said. “And so we've got to be able to have the sense orient and respond posture ... to be able to support multi-domain operations in the way that the operators plan to employ.” This involves moving to replace old IT systems with modern capabilities, including cloud storage and data fusion from multiple sensors — whether those be onboard an aircraft such as the F-35 or from a machine doing specific maintenance. “That data really is the key to our awareness of what's happening in the environment, and what's happening in the broader enterprise, to include at home and the depots and the broader supply system,” he said. https://breakingdefense.com/2020/07/air-force-expands-ai-based-predictive-maintenance/

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  21 février 2023 | International, Aérospatial, Autre défense

  Serbia to buy loitering munitions from UAE, invest in military industry -president

  Serbia said on Tuesday it would buy loitering munitions, a type of drone that flies to a target and detonates, from the United Arab Emirates, signalling a further distancing from longtime ally and arms supplier Russia.