6 juin 2023 | International, Aérospatial

Safran confirms talks with Raytheon over flight control assets

French aero engine maker Safran said on Monday it was s in discussions with U.S. aerospace company Raytheon Technologies for the potential acquisition of certain flight control and actuation activities, confirming earlier media reports.


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  • Army picks 6 to work on autoloader for extended-range cannon

    27 janvier 2020 | International, Terrestre

    Army picks 6 to work on autoloader for extended-range cannon

    By: Jen Judson WASHINGTON — The Army has picked six companies to work on concepts and designs for an autoloader for the service's future Extended-Range Cannon Artillery (ERCA) program currently under development, according to a Jan. 24 Army Futures Command statement. While the first ERCA cannons will be fielded in fiscal 2023, the goal is to begin fielding the system with an autoloader just one year later. The companies — Actuate (formerly Aegis Systems, Inc.); Apptronik, Inc.; Carnegie Robotics LLC; Pratt & Miller Engineering; Neya Systems, LLC and Hivemapper, Inc. — will work under the Army Capability Accelerator and the Army Applications Laboratory (AAL) as part of the Field Artillery Autonomous Resupply (FAAR) “cohort” and will come up with novel, outside-of-the-box concepts for the autoloader. AAL is part of AFC, the Army's new four-star command in charge of rapid modernization that will align with the service's new developing doctrine. The cohort began work on Jan. 13 in Austin, Texas, where the AAL and AFC reside, and will wrap up work with capability presentations on April 2, the statement notes. “Sourced from across the country, the selected companies represent a range of technologies and expertise all aimed at developing autonomous resupply capabilities,” the statement reads. Among the companies selected, Actuate specializes in artificial intelligence focusing on computer vision software that turns any security camera into an “intruder- and threat-detecting smart camera," the release states. Apptronik is a robotics company spun out of the Human Centered Robotics Lab at the University of Texas at Austin. Pittsburgh-based Carnegie Robotics specializes in robotic sensors and platforms for defense, agriculture, mining, infrastructure and energy applications and was founded out of Carnegie Mellon University's National Robotics Engineering Center. Pratt & Miller's focus has been on addressing technology challenges in the motorsports, defense and mobility industries. Neya Systems, also from Pittsburgh, Pennsylvania, is another robotics company focused on advanced unmanned systems, off-road autonomy and self-driving vehicle technologies. The AAL has become the face of doing business with the Army in the startup community and has set up shop in the heart of Austin within an innovation incubator hub called the Capital Factory. Anyone can walk through an open garage door and pitch ideas to the Army and the service. But the Army is also going out to companies and trying to convey problems they need solved on the battlefield in the hopes of finding new and novel solutions. “Designed for small businesses and companies that don't typically work with the federal government, the program connects qualified companies that want to grow a new line of business into the DoD with Army stakeholders who want to speed capability development, transition to a program of record, or de-risk and inform requirements,” according to the statement. “We've spent the past year working to introduce commercial business models that translate to the Army and can help evolve its approach to capability development,” Porter Orr, product innovation lead at AAL, said. “We're helping nontraditional companies build a new line of business into the government. And that's important, but it's just as important that we're giving Army leaders a choice between writing a large check or doing nothing. This is a way for them to get more insight—more confidence—in a solution before purchasing it. That will mean a higher probability of success in the field.” Cohort participants receive $150,000 to complete a 12-week program ending in a pitch to the Army. FAAR is the pilot effort of likely many attempts to bring in non-traditional businesses to help solve some of the Army's problems both big and small. https://www.defensenews.com/land/2020/01/24/army-picks-6-to-work-on-autoloader-for-extended-range-cannon

  • US Spies Want to Know How to Spot Compromised AI

    31 décembre 2018 | International, C4ISR

    US Spies Want to Know How to Spot Compromised AI

    BY DAVE GERSHGORN What if you were training an AI, and an adversary slipped a few altered images into its study set? The US government's research arm for intelligence organizations, IARPA, is looking for ideas on how to detect “Trojan” attacks on artificial intelligence, according to government procurement documents. Here's the problem the agency wants to solve: At a simple level, modern image-recognition AI learns from analyzing many images of an object. If you want to train an algorithm to detect pictures of a road signs, you have to supply it with pictures of different signs from all different angles. The algorithm learns the relationships between the pixels of the images, and how the structures and patterns of stop signs differ from those of speed-limit signs. But suppose that, during the AI-training phase, an adversary slipped a few extra images (Trojan horses) into your speed-limit-sign detector, ones showing stop signs with sticky notes on them. Now, if the adversary wants to trick your AI in the real world into thinking a stop sign is a speed-limit sign, it just has to put a sticky note on it. Imagine this in the world of autonomous cars; it could be a nightmare scenario. The kinds of tools that IARPA (Intelligence Advanced Research Projects Activity) wants would be able to detect issues or anomalies after the algorithm has been trained to recognize different objects in images. This isn't the only kind of attack on AI that's possible. Security researchers have also warned about inherent flaws in the way artificial intelligence perceives the world, making it possible to alter physical objects like stop signs to make AI algorithms miscategorize them without ever messing with how it was trained, called “adversarial examples.” While neither Trojan attacks nor the adversarial examples are known to have been used by malicious parties in the real world, researchers have said they're increasingly possible. IARPA is looking at a short timeline as well, expecting the program to conclude after a maximum of two years. https://www.defenseone.com/technology/2018/12/us-spies-want-know-how-spot-compromised-ai/153826

  • US Army weighs taking future Project Convergence exercises abroad

    13 octobre 2021 | International, Terrestre

    US Army weighs taking future Project Convergence exercises abroad

    The Army is about to kick off a major part of its U.S.-based experimentation event known as Project Convergence, and service leaders are considering growing the annual campaign overseas.

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