Poland signs $4.75 billion Abrams tank deal as Russia's war speeds procurements

On the same subject

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  December 31, 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

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  January 25, 2021 | International, Aerospace

  General Atomics Advances SeaGuardian Systems

  by David Donald - January 20, 2021, 6:53 AM General Atomics Aeronautical Systems Inc. (GA-ASI) has revealed that it has completed the development and testing of a self-contained anti-submarine warfare (ASW) package, the first such equipment for an unmanned aircraft system (UAS). The package comprises podded sonobuoy dispenser systems (SDS) and a sonobuoy management and control system (SMCS). GA-ASI has been studying unmanned ASW capability for some years, demonstrating sonobuoy remote processing capability from an MQ-9A Reaper in 2017. Subsequently an SMCS has been added, and the SDS has been developed. It employs a pneumatic launch system, and each pod can carry up to 10 A-size sonobuoys or 20 G-size buoys. On November 24 last year GA-ASI carried out a trial at the U.S. Navy's Pacific range in which a company-owned MQ-9A Block 5 released seven SSQ-53G Directional Frequency Analysis and Recording (DIFAR) and two SSQ-62F Directional Command Activated Sonobuoy System (DICASS) sonobuoys, and a single SSQ-36B bathythermograph buoy. Using a General Dynamics Mission Systems-Canada UYS-505 processing system the trial successfully tracked an MK-39 expendable mobile ASW training target (EMATT) for three hours, data being relayed by a satcom link to the Laguna flight operations facility at the Yuma Proving Ground in Arizona. The ASW capability is being developed for the SeaGuardian configuration of the MQ-9B SkyGuardian, which can carry up to four SDS pods under its wings. The SeaGuardian is intended to perform as a stand-alone maritime patrol asset or to act with traditional maritime patrol aircraft as part of a manned-unmanned team. A key part of the SeaGuardian mission set is a surveillance radar, and GA-ASI is working with Leonardo to integrate the Seaspray 7500E V2 AESA radar into the UAS's centerline pod. The radar offers a variety of modes, including inverse synthetic aperture radar that works with the automatic identification system (AIS, a form of maritime IFF) to provide accurate identification of detected surface targets. It can spot submarine periscopes and humans in the water during search and rescue operations. A high-definition optical/infrared full-motion video capability is also included. Another option from Leonardo is the SAGE electronic surveillance system. GA-ASI reports that two undisclosed export customers have ordered the SeaGuardian capability, which was included in the recently approved request for up to 18 MQ-9Bs from the United Arab Emirates. In its standard SeaGuardian configuration the MQ-9B has an endurance of more than 18 hours and can mount an eight-hour patrol at a radius of 1,200 nm. Another store that has recently been trialed by GA-ASI is the Legion Pod, in this case, the carrier being the company's jet-powered Avenger remotely piloted aircraft. The Legion Pod, which is carried by F-15 Eagles, features a Lockheed Martin IRST21 infrared search and track sensor in its nose and datalinks to network the sensor and carrier with other platforms. n early January GA-ASI was selected to support the U.S. Air Force's Skyborg Vanguard program that is developing artificial intelligence/machine-learning autonomous capabilities for future combat aircraft. Two company-owned Avengers are being modified with updated links and the Skyborg System Design Agent software to support this activity, which will test the ability of manned aircraft to control the Avengers in flight and to pass critical mission information between them. https://www.ainonline.com/aviation-news/defense/2021-01-20/general-atomics-advances-seaguardian-systems

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  October 17, 2023 | International, Naval

  Lockheed Martin's Next Generation Interceptor Program Advances Through Major Design Milestone

  Huntsville, Ala., October 16, 2023 /PRNewswire/ -- Lockheed Martin's (NYSE: LMT) Next Generation Interceptor (NGI) program executed its digital All Up Round (AUR) Preliminary Design Review (PDR), in partnership with...