Promesse tenue pour le budget de la défense

Sur le même sujet

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  24 septembre 2020 | International, Aérospatial, Naval, Terrestre, C4ISR, Sécurité, Autre défense

  Hyten to issue new joint requirements on handling data

  Aaron Mehta WASHINGTON — While the phrase “tsunami of data” seems to have exited everyday use by Defense Department officials, the problem remains the same: The Pentagon simply cannot exploit the sheer amount of information that comes in every day to its fullest. It's a challenge that will only get worse as more sources of information come online, with each branch having its own data sets, which often don't talk to each other. At the same time, the lack of ability to properly sort, catalog and exploit the data means the department cannot fully achieve its goals of using artificial intelligence to its fullest. After almost a decade of talking about the problem, military leaders appear to have a target date for when the department will get its arms around the problem, according to Gen. John Hyten, the vice chairman of the Joint Chiefs of Staff. By 2030, the Pentagon expects handling data will no longer be an overwhelming challenge, Hyten said Monday during an event organized by the Defense Innovation Unit. But, he added, the department is looking at any way to move that date closer, including by reworking how requirements are developed in the Joint Requirements Oversight Council, or JROC, a group chaired by Hyten, which serves as an oversight body on the development of new capabilities and acquisition efforts. Currently, “a service develops the capability, it comes up through the various coordination boards in the JROC, eventually getting to the JROC where we validate a service concept and make sure it meets the joint interoperability requirement,” Hyten explained. “But what was intended is the JROC would develop joint requirements and push those out to the services and tell the services ‘you have to meet those joint requirements.'” To get back to that top-down model, Hyten plans to push out a list of joint requirements for two major department priorities in all domain command and control and logistics for joint fires, which will have specific requirements for data and software. “They're not going to be the traditional requirements that you've looked at for years, capability description documents and capability production documents. They're going to capabilities and attributes that programs have to have,” he said. “And if you don't meet these, you don't meet the joint requirements and therefore you don't get through the gate, you don't get money. That's how we're going to hold it.” Hyten added that the goal is to have those data requirements out to the services around the end of the year, shortly after the expected publication of the new joint warfighting concept. That concept — which Hyten has previously described as essentially eliminating lines between units and services on the battlefield — inherently relies on the ability to combine data to be successful, he noted. https://www.defensenews.com/pentagon/2020/09/23/hyten-to-issue-new-joint-requirements-on-handling-data/

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  16 mai 2024 | International, Naval

  Navy, Marine Corps pitched three systems for first Replicator batch

  An acquisition official said the Navy and Marine Corps brought three systems to Replicator, but declined to clarify whether all were selected.

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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