4 novembre 2021 | International, Terrestre

Shaken and stirred: British Army's Ajax troubles cast a long shadow

General Dynamics' land systems operation in Spain has already built half of the hulls for the British Army's Ajax armored cavalry program, even as the future of the vehicle is threatened by noise and vibration problems.

https://www.defensenews.com/digital-show-dailies/feindef/2021/11/03/shaken-and-stirred-british-armys-ajax-troubles-cast-a-long-shadow/

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  • L'Inde commence l'assemblage du prototype de l'AMCA, son avion de combat multi rôle de 5ème génération

    18 mars 2022 | International, Aérospatial

    L'Inde commence l'assemblage du prototype de l'AMCA, son avion de combat multi rôle de 5ème génération

    L'entreprise d'état indienne HAL (Hindustan Aeronautics Ltd) a annoncé la fabrication du premier bord d'attaque du prototype de l'avion de combat multi rôle indien 5ème génération AMCA (Advanced Medium Combat Aircraft). Le premier vol est prévu « pour 2024-2025 avec une mise en production début 2030 », selon Air & Cosmos. L'AMCA, d'une masse de 25 tonnes, aura une charge utile interne de 1.5 tonne et une charge utile externe de 5.5 tonnes en addition de 6.5 tonnes de carburant. Il sera disponible en version furtive et non furtive. Concernant ses deux moteurs, ses variantes connaîtront deux étapes : une version MK1 équipée des moteurs GE414 qui équipent le LCA Tejas (génération précédente d'avions de combats indiens), puis une version MK2 équipée d'une motorisation plus puissante (110kN, légèrement en dessous du NGF). « Un accord de collaboration devrait être signé prochainement avec Safran ou Rolls-Royce pour le développement de ce moteur », souligne Air & Cosmos, qui rappelle que Safran a déjà travaillé avec HAL sur le développement du moteur Shakti de son hélicoptère ALH. Air & Cosmos du 18 mars

  • To maintain tech edge, US seeks export controls on AI

    21 novembre 2018 | International, C4ISR

    To maintain tech edge, US seeks export controls on AI

    By: Kelsey D. Atherton In just two words, the phrase “artificial intelligence” captures a deep techno-utopian promise, the notion that through craftsmanship humans can create learning and thinking machines outside the processes of organic life. AI is typically the realm of technologists and science fiction writers. Now it is also in the world of export controls prohibitions and restrictions on technologies as overseen by the Department of Commerce. In a proposed rule announced Nov. 19, the Bureau of Industry and Security wants to set out guidelines establishing “criteria for identifying emerging technologies that are essential to U.S. national security.” The stated goals of such controls are tied to both security and protectionism for existing American industry, especially the science, technology, engineering and manufacturing sectors. The proposed rules encompass 14 technologies, covering brain-computer interfaces to advanced surveillance technology. Nestled in that list of technologies is “artificial intelligence (AI) and machine learning technology,” which is further broken into 11 related tools. Here is a list of all the kinds of AI that the new rules seek to put under Commerce export controls: Neural networks and deep learning (e.g., brain modelling, time series prediction, classification) Evolution and genetic computation (e.g., genetic algorithms, genetic programming) Reinforcement learning Computer vision (e.g., object recognition, image understanding) Expert systems (e.g., decision support systems, teaching systems) Speech and audio processing (e.g., speech recognition and production) Natural language processing ( e.g., machine translation) Planning (e.g., scheduling, game playing) Audio and video manipulation technologies (e.g., voice cloning, deepfakes) AI cloud technologies AI chipsets Several of these are as much mathematical concepts, or processes, as they are distinct, controllable technologies. Others, like AI cloud technologies, suggest always-online servers, which by the very nature of the internet, are difficult to control within borders. Tackling an entire technological field, especially one with as low a barrier to entry as coding, is a tricky proposition, even in the instances where the technology is clearly defined. Why might the White House go through all this trouble? “These revisions could compose an important element of a strategy of targeted countermeasures against the near-term threat posed by China's tactics for tech transfer and the long-term challenge of China's emergence as a powerhouse in innovation,” said Elsa B. Kania, adjunct fellow at the Center for New American Security. “However, the revision of this traditional mechanism for today's challenges is inherently challenging, particularly when development is driven by commercial technologies.” Unlike, say, controlling the components and designs of missiles in the Cold War, many of the technologies covered under these proposed rules have both commercial and military applications. We need not look abroad to find this. Project Maven, the tool Google created to process images collected from drones, was built on top of an open-source library. Identifying objects in images is hardly a military-specific task. Should companies within the United States be restricted in how they create, sell and share those same tools with researchers and commercial companies outside American borders? “China's national strategy of military-civil fusion, which seeks to create and leverage synergies among defense, academic, and commercial technological developments in dual-use technologies, increases the ambiguity and uncertainty of tech transfer and collaboration,” Kania said. “That is, the boundaries between defense and commercial technologies can become quite blurred as a result of the nature of these technologies and the Chinese government's strategy for their integrated development.” Putting in place controls to hinder the free flow of AI between American companies and businesses abroad may mitigate that risk somewhat, but countries set on acquiring the tools can pursue research by other means, including technology transfers, espionage, theft through hacking, or even straightforward investment and acquisition. Staying ahead in artificial intelligence likely cannot be done through commerce restrictions alone. “The U.S. must recognize that such controls may slow and hinder China's advances in these emerging technologies, but China's emergence as a powerhouse and would-be superpower in such emerging technologies will remain a critical long-term challenge,” Kania said. “We must not only pursue such defensive countermeasures, but also undertake a more offensive approach to ensuring future American competitiveness through investing in our own innovation ecosystem.” https://www.c4isrnet.com/it-networks/2018/11/20/to-maintain-tech-edge-us-seeks-export-controls-on-ai

  • Inside the intelligence community’s new plan for commercial imagery

    20 juillet 2020 | International, C4ISR

    Inside the intelligence community’s new plan for commercial imagery

    Nathan Strout Starting in 1961, the National Reconnaissance Office has been tasked with designing, building, launching and operating the United States' fleet of intelligence satellites. Over the years, that mission has evolved, bolting on new components and missions. Now in 2020, the NRO is looking to change once again, moving beyond the status quo by issuing a new set of contracts toward the end of this year that will reshape the intelligence community's relationship with commercial imagery. Peter Muend, the head of NRO's commercial imagery efforts, told C4ISRNET that the agency is “obviously very committed to utilizing commercial imagery to the maximum extent practical in support of defense, national security and all the other mission areas that we serve.” “I think the best philosophy that underpins that is one that says ‘We really are looking to buy everywhere we can and only build what we have to—what's really not available on the commercial market,‘” Muend said. An important condition to that approach is that the commercial imagery market actually have commercial support. In other words, Muend doesn't want any of these companies to exist solely to support government requirements. There should be a real commercial market for these capabilities, which will help drive down costs for the government. To understand the agency's approach to commercial imagery, it's best to go back to 2017, when the NRO took over the role of acquiring commercial satellite imagery on behalf of the intelligence community from the National Geospatial-Intelligence Agency. Under this new paradigm, NGA serves as the geospatial intelligence (GEOINT) functional manager, determining what imagery the intelligence community needs and writing those requirements, but it's up to NRO to determine how those requirements are filled. Then in 2018, another step occurred when the NGA's EnhancedView contract was transferred to NRO, which issued a follow-on contract to Maxar shortly thereafter. That single EnhancedView contract has been one of the primary source of commercial imagery for the intelligence community for years. The goal now is to start the move beyond EnhancedView. That process started in 2019, when the NRO issued a request for information (RFI) to see what types, quality and quantity of imagery industry could provide. For Muend, that RFI sent a message to industry: the intelligence community was looking to the commercial sector for imagery that went beyond the requirements, capacity and capability the government had sought in the past. That RFI initially led to a trio of study contracts for Maxar, BlackSky and Planet. “Really, the purpose of those study contracts was to serve a couple purposes, one being to take a look at their systems and really understand their performance from a modeling and simulation standpoint to really see what they can do and how they would measure up and meet our capability,” said Muend. “The other part was really to assess imagery, because of course a lot of the input we got back from the RFI emphasized the quality of the imagery and how much they could deliver. It's one thing to get an RFI response. It's another thing to actually formally assess and measure.” In the year since those first study contracts were issued, the agency has issued a handful of other study contracts, primarily to companies offering different phenomenologies than electro-optical imagery, including synthetic aperture radar and radio frequency sensing. Muend clarified that those study contracts were less focused on purchasing data from those phenomenologies and more focused on ensuring the agency's systems could interface with those phenomenologies. “We certainly see a very vibrant future ahead for those phenomenologies. We're excited for them to continue to mature and we're certainly looking forward to taking advantage of them in the future,” said Muend. “But again, the specific contracts we're moving forward with toward the end of the year are more focused on the electro-optical side.” Back on that electro-optical side of things, the study contracts have been mutually beneficial, said Muend. Not only has NRO learned what capabilities are available commercially and how they can be incorporated, the vendors have gotten a better understanding of what the agency is looking for. “And then on the imagery side, we've certainly learned a lot — certainly some of the differences between what the glossy advertising sheets say and then what's really available when looked at analytically in the way that we and the larger community do,” said Muend. When pressed on that point, Muend declined to characterize whether any company had failed to live up to or superseded its claims. All of those efforts are leading up to source selection and contract awards toward the end of the year. Muend noted that there were likely to be awards to multiple companies and those contracts will specifically pertain to electo-optical imagery. “One thing that we have seen out of our study contracts and our market research is that no single provider can currently meet what we're asking for out of our requirements. So it is going to be an aggregate of capability from multiple vendors, and in addition it's going to be something that they're going to have to grow into over time, that they expand their capabilities to meet our needs,” he explained. As a precursor to that decision, NRO issued an RFI in June to help the agency standardize end user license agreements for imagery. Those agreements govern how the agency is able to use and share the imagery it collects, explained Muend. As NRO prepares to begin purchasing imagery from multiple companies, it wants to make sure those agreements are clear, intuitive and broadly uniform. “We're very, very excited about the future, about establishing a new set of operational imagery contracts to not only take advantage of our current industry base, but the growing new entrants and new providers as well,” said Muend. “We're eager to get moving.” https://www.c4isrnet.com/intel-geoint/2020/07/17/how-the-intelligence-community-is-approaching-commercial-imagery/

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