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  24 septembre 2021 | International, Naval

  Affaire des sous-marins australiens : Florence Parly et Pierre-Eric Pommellet s’expriment dans la presse

  DÉFENSE Affaire des sous-marins australiens : Florence Parly et Pierre-Eric Pommellet s'expriment dans la presse Florence Parly, ministre des Armées, accorde un entretien au journal Le Monde. Elle estime que l'affaire de l'annulation du contrat des sous-marins australiens doit pousser l'Europe à s'organiser pour défendre ses intérêts dans le monde. « Les Européens sont capables de déterminer ensemble où se trouvent leurs intérêts. Ils ont compris désormais qu'ils devaient être capables de les défendre partout où ils se trouvent, en se projetant, aussi, bien au-delà des limites de l'Union européenne (UE). C'est un travail que nous allons poursuivre, qui participe directement à la construction de l'Europe de la défense. L'Europe a une opportunité unique de s'affirmer en tant que puissance sur le plan stratégique », souligne-t-elle notamment, indiquant que ce sera l'objectif du premier Livre blanc, la « boussole stratégique », qui sera adopté sous la présidence française de l'UE en 2022. Le PDG de Naval Group, Pierre-Eric Pommellet, est quant à lui revenu, dans un entretien au Figaro, sur les conséquences de la crise pour le groupe. « C'est un choc surmontable mais inédit par la méthode. Très peu d'entreprises ont vécu un scénario aussi violent », souligne-t-il. « 90% de notre activité est réalisée avec nos autres clients », insiste-t-il toutefois : la Marine française, l'Inde, le Brésil, l'Égypte, ou encore la Belgique et les Pays-Bas, notamment. « L'avenir de Naval Group est porté par ses commandes françaises et internationales. Nous avons un carnet de commandes solide avec 5 SNA de classe Barracuda, 4 SNLE de 3e génération, des frégates ainsi que le porte-avions de nouvelle génération », indique le dirigeant. Le Figaro du 23 septembre et Le Monde du 24 septembre

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  12 septembre 2023 | International, Aérospatial

  UK, Japanese, Italian partners agree next steps for fighter jet | Reuters

  Britain's BAE Systems , Japan's Mitsubishi Heavy Industries , and Italy's Leonardo have agreed the next steps to deliver the concept phase of a next-generation combat aircraft, BAE Systems said on Tuesday.

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  19 mars 2020 | International, C4ISR

  L3Harris is building an AI tool to help process imagery

  By: Nathan Strout L3Harris is building a new platform that will help analysts in the military use artificial intelligence to identify objects in large imagery data sets. “In general, there's a big challenge with the amount of remote sensing data that's coming down, whether that's from space or airborne assets,” explained Will Rorrer, principal of business development for geospatial at L3Harris Technologies. “So there's lots of imagery and other data types coming down from above, so much so that it really can't be looked at in its entirety — certainly not exploited in its entirety — by traditional means (with) purely human analysts. And so things like counting objects in imagery, monitoring different places, that's where there's a natural adoption of machine learning type of techniques,” he continued. L3Harris officials declined to share who the end customer for their product will be or the exact value of their multimillion dollar contract, which was issued by the Air Force Life Cycle Management Center. It's no secret that the Department of Defense and the intelligence community are eager to use artificial intelligence tools to sift through the vast torrent of data created by an ever increasing number of sensors and pick out the most important information for human analysts. For its platform, L3Harris is focusing on creating the training data and workflows that will enable a machine learning tool to process data for the Department of Defense and provide deliverable intelligence. Machine learning platforms are essentially made of three parts: the training data the neural network will learn from, the machine learning algorithm itself, and then how the platform integrates into other Department of Defense systems. L3Harris will be working on what Rorrer calls the front end and the back end of the AI platform. “A lot of AI/ML technologies can be ported into that middle category,” he said. “Neural network applications that have been developed in commercial space can be brought in if we can address the front end and the back end of that in DoD space.” For nearly 30 years, L3Harris has been incorporated advanced modeling and simulation capabilities to test out new payloads and optical systems, using computers to plot out how the atmosphere and other factors will impact their technologies. Now the company plans to use those modeling and simulation tools to develop the training data that will teach a machine learning algorithm how to solve complex DoD problems, such as identifying a threatening object within satellite imagery. “All of that summed up—we make very good fake imagery,” said Rorrer. “ We've taken that technology that was essentially developed for another reason and pivoted (to using it) as a source of synthetic training data for these neural net applications.” Synthetic training data can be especially important for developing DoD or intelligence community AI applications, since there's often not enough real world imagery of the threats they're focused on, said Rorrer. L3Harris believes that they can create fake imagery that looks enough like the real thing that when real imagery is fed into the algorithm it can find the objects it's supposed to. https://www.c4isrnet.com/intel-geoint/2020/03/18/l3harris-is-building-an-ai-tool-to-help-process-geoint/