Garantir l’indépendance de la BITD, enjeu essentiel pour la souveraineté

Sur le même sujet

• 

  19 juin 2020 | International, Naval, Terrestre

  Huntington Ingalls Industries Awarded $145 Million Advance Procurement Contract for Amphibious Assault Ship LHA 9

  Pascagoula, Miss., June 17, 2020 -- Huntington Ingalls Industries (NYSE:HII) announced today that its Ingalls Shipbuilding division has received a third contract modification from the U.S. Navy for $145 million to provide long-lead-time material and advance procurement activities for amphibious assault ship LHA 9. This modification brings the total advance funding for LHA 9 to $350 million. “This advance procurement contract will help protect the health of our supplier base and strengthen our efforts to efficiently modernize the nation's amphibious fleet as we continue to build amphibious ships for the Navy,” Ingalls Shipbuilding President Brian Cuccias said. Ingalls is the sole builder of large-deck amphibious ships for the Navy. The shipyard delivered its first amphibious assault ship, the Iwo Jima-class USS Tripoli (LPH 10), in 1966. Ingalls has since built five Tarawa-class (LHA 1) ships, eight Wasp-class (LHD 1) ships and the first in a new class of amphibious assault ships, America (LHA 6), in 2014. The second ship in that class, Tripoli (LHA 7), was delivered to the Navy earlier this year. Bougainville (LHA 8) is under construction. About Huntington Ingalls Industries Huntington Ingalls Industries is America's largest military shipbuilding company and a provider of professional services to partners in government and industry. For more than a century, HII's Newport News and Ingalls shipbuilding divisions in Virginia and Mississippi have built more ships in more ship classes than any other U.S. naval shipbuilder. HII's Technical Solutions division supports national security missions around the globe with unmanned systems, defense and federal solutions, nuclear and environmental services, and fleet sustainment. Headquartered in Newport News, Virginia, HII employs more than 42,000 people operating both domestically and internationally. For more information, visit: HII on the web: www.huntingtoningalls.com HII on Facebook: www.facebook.com/HuntingtonIngallsIndustries HII on Twitter: www.twitter.com/hiindustries HII on Instagram: instagram.com/huntingtoningalls CONTACT INFORMATION Teckie Hinkebein Manager of Media Relations (228) 935-1323 teckie.hinkebein@hii-co.com View source version on Huntington Ingalls Industries: https://newsroom.huntingtoningalls.com/releases/huntington-ingalls-industries-awarded-145-million-advance-procurement-contract-for-amphibious-assault-ship-lha-9

• 

  25 novembre 2020 | International, Aérospatial

  Turkish firm develops AI-powered software for drone swarms

  Burak Ege Bekdil ANKARA, Turkey — A privately owned Turkish company says it has developed an artificial intelligence-based software for swarm drones. MilSOFT announced Nov. 19 it developed the software after four years of research, and the the technology could be used in both fixed- and rotary-wing drone platforms. A government aerospace official said swarm drones would be used in Turkey's future unmanned aerial combat concept due to their low hardware costs and stealth technology. “These drones could be ideal in asymmetrical warfare. They are quick, cost-effective and easy to operate,” the official said. “Most importantly, they are assets designed to minimize human loss in asymmetrical warfare.” The Turkish military has been operating a big fleet of tactical and armed drones primarily in combat against Kurdish militants in Turkey's southeast provinces but also in cross-border operations in northern Syria and Iraq. Turkish drones have also been used in Libya's civil war and, most recently, in conflict between Armenia and Azerbaijan. Many countries have yet to try drone swarm technology in a simulated, controlled environment. Turkey is among those that have the technology and the ability to test it in the field during operations. Turkey's top procurement office, the Presidency for Defense Industries, launched its Swarm UAV Technology Development and Demonstration program with a view to develop algorithms and software for the use of unmanned platforms with a swarm capability. The program is also meant to involve micro-scale companies as well as small and medium-sized enterprises. MilSOFT has specialized in software solutions since 1998, and it is one of the participants of the government-run program. It has been offering products to the Turkish military for tasks including identifying detection by automatic moving target technology using AI, and machine-learning techniques with image-processing algorithms. The company said with the integration of intelligence and image evaluation products, drone swarms can be updated with additional capabilities such as reconnaissance, detection, recognition, search and rescue, and vehicle tracking. MilSOFT's software-based solution will allow drone swarms to be launched from aerial, land and naval platforms, and the images they obtain will enter a central command system. In the meantime, the drone flocks will transfer images between different military units with a relay function. AI technology can help catch elements that cannot be caught by the human eye and enable multiple attack capabilities by arming vehicles in operation. MilSOFT's AI-based software is also expected to enable swarm drones to perform frontal attacks on command from helicopters and provide operational support to other friendly platforms. The drones can reportedly operate autonomously from the beginning to the end of a mission, and can be instantly monitored and controlled via intelligence applications. The UAVs have a flight time of more than half an hour and a payload capacity of 1 kilogram (2.2 pounds). The vehicles work with landing gear that can land on rough terrain. While five UAVs are currently used in a herd in the field, this number can reach up to 25 in a controlled environment. MilSOFT aims to make a drone swarm of 50 operational vehicles. Communication between the drones is also provided by MilSOFT's own technology. Vehicles can communicate with each other from up to 500 meters. There is also a 10-kilometer network solution for data transfers. MilSOFT plans to integrate its technology for underwater and surface platforms as well as land vehicles. https://www.c4isrnet.com/unmanned/2020/11/24/turkish-firm-develops-ai-powered-software-for-drone-swarms/

• 

  28 août 2020 | International, Naval

  Navy Turns To AI To Save Billions In Fight Against Rust

  By KELSEY ATHERTON ALBUQUERQUE: The Navy is using Google Cloud to speed up a basic but time consuming task: finding and identifying rust. This approach has already been applied to inspect wind turbines and find potholes in roads, and promises advantages both in speed of inspection and in future predictive maintenance. “The AI technology behind this enabled the US Navy to quickly and seamlessly examine tens of thousands of images to prioritize the needs to be repaired immediately and or later on,” Mike Daniels, vice president of Global Public Sector, Google Cloud, told me in an interview. While Google was unwilling to disclose the exact value of the contract, the promise is that speedy, AI-enabled inspections will lower labor and material costs of inspection and repair enough to more than justify the expenditure on inspection AI. “The tools we're providing can not only save the Navy billions each year, but significantly improve readiness and speed deployment,” said Daniels. “And this is a physical job right now. We're improving results for the inspectors.” If AI-facilitated rust inspection can reduce the amount of time a ship needs to stay in harbor for repairs, it can narrow the window in which catastrophic disasters, like the fire which tore apart the Bonhomme Richard, can happen. This work is being done through Simple Technology Solutions (STS), who was awarded the work as a Phase 1 Small Business Innovation Research project. To train the AI, STS flew a drone on inspections to get images of rust. Next, STS combined these drone-filmed images with public domain images of ships, and uploaded both sets to a Google Cloud server. Specifically, the inspections will look for broad area rust and corrosion, as well as subtler damage that human eyes might skip over, like pitting or focused damage. Using native machine learning built into the Google Cloud, STS could then train the algorithm to process, understand and identify rust in the images. This is an iterative process, one where every uploaded inspection improves the accuracy of the next inspection. “There's no classified data that's going to be handled as part of this project,” said Daniels, noting that Google offers a high level of protection for images stored in its cloud by default. As we have seen in the past, aggregated unclassified data can sometimes be enough to reveal classified information, but the immediate utility of cloud-powered inspections should offset any distant concern of weakness revealed through corrosion maintenance. Most importantly, the inspection tool promises savings in time. A widely-cited 2014 report from the US Navy attributed the cost of fighting rust and corrosion at $3 billion. Some of that cost is hard to shake: the paint used to cover rust-scrapped areas can cost as much as $250 a gallon. Catching corrosion quickly and early shortens the amount of time humans need to work to fix a vessel, and should reduce the area that needs repair for each inspection. https://breakingdefense.com/2020/08/navy-turns-to-ai-to-save-billions-in-fight-against-rust/