Vente de Rafale et de frégates FDI : les PDG de Dassault Aviation et de Naval Group attendus ce jeudi en Grèce

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  20 juin 2019 | International, Aérospatial

  Pentagon, Lockheed Martin Failed to Ensure Proper Parts for F-35

  CHARLES S. CLARK A major contractor and the Pentagon's top management office came in for criticism from an inspector general for cutting corners in assuring that the massive joint-service F-35 stealth fighter is equipped with ready-for-issue parts. In a report dated June 13, the Defense Department watchdog found that parts for the department's largest acquisition—with an estimated $406 billion price tag and sales planned to foreign allies—were not being received according to the contracts and performance incentives. The parts contracted for delivery by Lockheed Martin Corp. include wheel, seat, and window assemblies, said the audit addressed to the Defense secretary for acquisition, the Air Force secretary, the Air Force inspector general and the Defense Contract Management Agency. The federal contracting offices and the corporate teams working on the plane are supposed to ensure the sustaining parts are delivered “ready for aircraft maintenance personnel to install on the aircraft,” as well as have an Electronic Equipment Logbook assigned that spells out each part's history and remaining life. Too often, however, the parts arrived not ready in accordance with contracts and incentive fees on the sustainment contracts because of “inflated and unverified F‑35A aircraft availability hours. This occurred because the [Joint Program Office] did not conduct adequate oversight of contractor performance related to receiving F‑35 spare parts and aircraft availability hours,” the report said, calling the inflation of hours unintentional. As a result, the department received non-ready spare parts and spent up to $303 million in labor costs since 2015, “and it will continue to pay up to $55 million annually” for such parts until a fix is made. In addition, the Defense Department has “potentially overpaid” $10.6 million in performance incentive fees by not independently collecting and verifying aircraft availability hours. “The lack of available [ready-for-issue] spare parts could result in the F‑35 fleet being unable to perform required operational and training missions,” the report warned. The Joint Program Office was aware of the problem, auditors found during their review from June 2018 to April 2019, but did not resolve the issue or require the services to better track the non-compliant parts. Interviews with the Joint Program Office staff in Arlington, Va.; the DCMA administrative office in Lockheed Martin's facility in Fort Worth, Texas; and Lockheed staff at three sites found, for example, that of 74 spare parts delivered to Hill Air Force Base in Utah from Sept. 17-30, 2018, 59 spare parts (80 percent) were non-ready for issue. Of the 263 spare parts delivered to Luke Air Force Base in Arizona in June 2018, 213 spare parts (81 percent) were non‑ready. And of 132 spare parts delivered to the Marine Corps Air Station in Beaufort, S.C., in September 2017, 58 spare parts (44 percent) were non‑ready. The IG recommended that the F-35 program executive officer improve oversight by coordinating with DCMA to pursue compensation from the contractor for the costs of mishandling the supply of spare parts since 2015. It also recommended that he direct the contracting officer to add clarifying language to future sustainment contracts, and task the lead contracting office with updating its Quality Assurance Surveillance Plan. Navy Vice Adm. Mathias Winter, the program executive, agreed, stating that there is value added in tracking and using contractor performance data. https://www.govexec.com/defense/2019/06/pentagon-lockheed-martin-failed-ensure-proper-parts-f-35/157822/

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  30 janvier 2019 | International, Terrestre

  With shutdown over, Japan cleared to spend $2.15 billion on Aegis Ashore

  By: Aaron Mehta WASHINGTON — The U.S. Defense Security Cooperation Agency announced Tuesday that Japan has been cleared to buy a pair of land-based Aegis ballistic missile defense systems, the first Foreign Military Sales announcement since the end of a government shutdown that stalled the FMS process. The sale, worth an estimated $2.15 billion, would bolster Japan's existing sea-based Aegis capabilities. The island nation is in the process of increasing its missile defense capabilities, both through additional Aegis buys and through the co-development of the SM-3 missile with the U.S. Although not specified in the DSCA announcement, a government official confirmed these two systems are for Japan's planned Aegis Ashore sites, which are expected to be operational by 2023. Included in the potential package: two Aegis weapon systems, two multimission signal processors, and two command-and-control processor refreshes, alongside radio navigation equipment, ordnance, identification friend or foe systems, and construction services for six vertical launch system launcher module enclosures. Tuesday's announcement is the first DSCA notification to be posted since Dec. 18, just days before the longest government shutdown in U.S. history began. Speaking to reporters last week, Andrea Thompson, the U.S. State Department official who oversees the FMS process, said the shutdown was slowing down the process of clearing sales requests from foreign customers — notable, as the Trump administration has made increasing weapon sales abroad a key part of both its foreign policy and economic growth strategy. “There will be a bit of a bump — a gap, if you will — just because we haven't had the engagement with [Capitol] Hill” normally seen in the process, Thompson said then. “We'll be able to make up some ground, but I am a realist. We have to work harder if we are going to have the numbers we had last year.” Japan has recently spent heavily on American defense items. In September, the nation was cleared to spend $3.14 billion on nine E2-D Advanced Hawkeye aircraft, and in October it agreed to pay more than half a billion dollars for SM-3 missiles. In the recently released Missile Defense Review, the U.S. Department of Defense identified that working with partners in the Pacific — notably Japan and South Korea — is the “cornerstone” of American security in the region. “Japan is one of our strongest missile defense partners, and works together with the United States to strengthen cooperative missile defenses against regional missile threats,” the review states. “Going forward, DoD will work with allies and partners to prioritize these types of missile defense integration opportunities that contribute to more effective protection of the United States, its allies and deployed forces.” DSCA announcements do not mean sales are final. The announcement serves as notification to Congress about the potential sale, which can be vetoed by the Senate; once cleared, negotiations between the customer and contractor can lead to changed quantities or dollar figures from the original announcement. https://www.defensenews.com/global/asia-pacific/2019/01/29/with-shutdown-over-japan-cleared-to-spend-215-billion-on-aegis-ashore

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  19 août 2019 | International, C4ISR

  What’s the best way for the Pentagon to invest in artificial intelligence?

  The Department of Defense is poised to spend nearly $1 billion on artificial intelligence in the next year. The Pentagon's proposed budget for fiscal 2020 includes some $927 million for AI, as well as machine learning, according to Ainikki Riikonen, a research assistant for the Technology and National Security Program at the Center for a New American Security. This includes $208 million earmarked for the Joint Artificial Intelligence Center, which was created in 2018. The Center's initial efforts have delivered “a very mature, insightful high-level view” of issues surrounding AI, said Ian McCulloh, chief data scientist at Accenture Federal Services. AI encompasses hardware, software, people and processes. With nearly a $1 billion bankroll, Defense Department leaders and the intelligence community are now looking for the best ways to leverage this emerging capability most effectively. Starting point A deep dive into the numbers shows an early emphasis on basic research. The Defense Advanced Research Projects Agency's budget request includes $138 million for advanced land systems technology, up from $109 million in fiscal 2019. That program includes research into urban reconnaissance and AI-driven subterranean operations. DARPA's budget also includes $10 million for the Highly Networked Dissemination of Relevant Data Project, a situational awareness tool, as well as $161 million for the AI Human Machine Symbiosis Project, up from $97 million. “That's all about creating systems and people that actually understand each other,” Riikonen said. These foundational research efforts could yield practical results for the war fighter. But before the Pentagon can make use of AI's analytic and predictive powers, military leaders will need to ensure they have the underlying infrastructure in place. “There's so much data available to the military, but it's stored all over the place, and rarely in a format that is easily transferrable into an algorithm,” said Todd Probert, vice president for Raytheon Intelligence, Information and Services. “If the military wants to set itself up for success, they should focus on data curation, labeling and cleaning, as well as recruiting and training the data scientists necessary to make use of it.” Good data requires good technical people, and those aren't easy to come by. “Talent isn't cheap and it's in high demand. The government will be competing directly with industry for a very small pool of people,” Probert said. This indicates a need for early investments on talented professionals. From there, defense can begin to look at funding specific projects and programs that take advantage of AI's capabilities. AI applications The Pentagon might begin by considering the potential for AI as a weapon of war. “We are only starting to scratch the surface on the impact of AI and how it can be manipulated by adversaries for nefarious purposes,” said Rahul Kashyap, president and chief executive of network traffic analysis company Awake Security. Machine learning might help military systems be more effective, but the reliance on data could also make those systems vulnerable to new kinds of attack. “With the adversarial use of AI, there are already discussions about ways in which data we have come to rely on may be poisoned to trick the machine inputs and algorithms,” Kashyap said. Some experts suggest that any early investments should address this potential risk, building in a defensive capability as part of AI's foundational layer. Others say that the low-hanging fruit lies in the military's ability to leverage AI in support of mundane, but nonetheless critical, tasks. In the near term, for example, AI spending could help provide transparency around inventory and supply chain management. “AI could help manage the complexity behind the connectivity and flow between transportation, people, facilities and supplies including equipment, spare parts and fuel in a predictive manner,” said Brigham Bechtel, chief strategy officer for intelligence and defense at big data applications firm MarkLogic. In this scenario, AI would leverage existing data on materiel availability and equipment performance to drive preventative maintenance, as well as parts procurement — “keeping records of millions of screws, wire couplers, and even tank gun barrels to support scaling to operational demand,” Bechtel said. That's a task for which machine-scale intelligence is ideally suited. In the realm of ISR, some industry representatives point to “open-source intelligence” (such as social media) as a prime target for AI investments. Sources such as Facebook and Twitter contain “significant intelligence that is beyond the scale of humans or classic computation analysis,” said Chad Steelberg, chief executive and chairman of AI-based analysis company Veritone. As in logistics, open-source intelligence offers ample data in a space where machine-scale analytics could have a deep impact. “The war of ideas, ranging from ISIS recruiting to state-sponsored propaganda, is the most dangerous battlefronts today,” Steelberg said. “With the source of ideas now being influenced by AI, the countries that harness this new weapon most effectively will have a distinct advantage.” The intelligence community also could benefit from AI's analytic powers to manage the sheer volume of sensor data in the field. “Is the analyst overwhelmed with data? If so, AI has the potential to help,” said Graham Gilmer, a principal in Booz Allen Hamilton's analytics business. “Generating a more robust search capability, fusing data from multiple sources, and generally doing the heavy lifting to cue the analyst are the most immediate applications.” In addition to addressing external data, the intelligence community could score an early win by building AI models that scrutinize conversations amongst analysts themselves. “In an ISR suite there can be as many as 15 chat rooms going at any time, with info coming in from various units and intelligence agencies,” Probert said. “That's too much data and crosstalk for a person to manage, so information is inevitably going to be missed. We need machine learning tools that can flag critical data and alert analysts to what's important.” All these represent valid points of inquiry and the Pentagon likely will pursue diverse variations on these themes. In the short term, though, analysts predict AI will mostly be about robots. “Advanced automation is the fastest growing category in AI, with the rise of unmanned systems,” Riikonen said, noting it would be a natural evolution for the military to leverage private sector learning to utilize AI in support of autonomous systems. “That fits very well with the overall U.S. defense strategy, which is all about having more of these autonomous systems that support war fighters in denied and contested environments.” In order to achieve those goals, the Defense Department may have to adopt a new way of investing in technology. Rather than a single development effort that leads to a completed product, however, AI requires an iterative process in which the computers learn over time. “You do small chunks, you do small bites,” said Paul Johnson, Grant Thornton public sector senior strategic adviser for the defense and intelligence community. In this light, AI investment will require not just algorithmic development, but investment in organizational change, to spur deep interactions between stakeholders. “We need to get the coders in the same room with the end users and start having the conversation about the art of the possible,” Johnson said. “You have to have that conversation early, often and repeatedly, for the coders to understand what they need to do.” https://www.c4isrnet.com/artificial-intelligence/2019/08/16/whats-the-best-way-for-the-pentagon-to-invest-in-artificial-intelligence/