Boeing reports $3.3 billion loss as KC-46, other defense programs drag

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  September 6, 2023 | International, Aerospace

  Upgraded F-35 deliveries could slip to June 2024

  The F-35 Joint Program Office says the upgraded jet is showing software troubles in flight tests, prompting it to push the schedule back.

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  June 14, 2018 | International, C4ISR

  Make room NATO ― the EU is planting its flag in cyber

  WASHINGTON — European military and staff planners from Belgium to Bulgaria gathered this week in Austria to take part in Cyber Phalanx 2018. The exercise, which involved 27 nations, aimed to strengthen European readiness against cyberattacks, with a special focus on “cyber defense decision-making and planning processes,” according to the European Defense Agency announcement. The heads of Britain and Germany's domestic intelligence agencies joined European Union officials to warn of an expanded use of cyber to undermine democratic processes by Russia. Countries like Finland have identified cyber espionage as a top threat to the survival of national technology companies. While the EU has organized little in the way of cyber exercises, the Cyber Phalanx exercise won't be the first among European allies to focus on cyber readiness and training. NATO has taken the lead in preparing member nations for cyber threats, organizing exercises like Crossed Swords for members to gain experience with cyber-kinetic operations involving drones and 5G networks. The alliance also recently declared success at its Locked Shields exercise after NATO cyber specialists defended a theoretical country's electric power grid, communication networks and other critical infrastructure from thousands of cyberattacks. NATO has also led the EU in discussions of a response to a cyberattack, even raising the possibility of treating a digital transgression as an act of war. Now, the issue may be warranting more attention from European organizations. Hosted by the EDA and the Multinational Capability Development Campaign (MCDC), Cyber Phalanx seeks to help the participants from various nations familiarize themselves with existing European online structures and their respective roles as cyber stakeholders. As governments around the world contemplate how to recognize the next threat to their networks, the exercises in Austria also will hopefully “increase interoperability” among experts and governments in Europe. Planners will also be prepared to address previously overlooked aspects of cyberwarfare, such as fake news or social media that might be used to compromise planning or execution. As the pilot Cyber Phalanx, the exercises will draw on the feedback received from participants, trainers and organizers to adapt the course and improve the concept for future iterations. The exercises concluded June 8, with lessons learned incorporated into the training curriculum for future European cyber experts. https://www.fifthdomain.com/international/2018/06/08/make-room-nato-eu-is-planting-its-flag-in-cyber/

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  September 8, 2020 | International, Aerospace

  GA-ASI Demonstrates AI Driven Targeting Computer with AFRL’s Agile Condor Pod

  General Atomics Aeronautical Systems, Inc., with the support of SRC Inc., successfully integrated and flew the Air Force Research Laboratory's (AFRL) Agile Condor Pod on an MQ-9 Remotely Piloted Aircraft at GA-ASI's Flight Test and Training Center in Grand Forks, North Dakota The Agile Condor Pod provides on-board high-speed computer processing coupled with machine learning algorithms to detect, correlate, identify, and track targets of interest. With this capability, the MQ-9 is able to identify objects autonomously utilizing its on-board Electro-optical/Infrared (EO/IR) sensor and GA-ASI's Lynx Synthetic Aperture Radar (SAR). Defense contractor SRC, Inc. developed the Agile Condor system for the Air Force Research Laboratory (AFRL), delivering the first pod in 2016. It's not clear whether the Air Force conducted any flight testing of the system on other platforms before hiring General Atomics to integrate it onto the Reaper in 2019. The service had previously said that it expected to take the initial pod aloft in some fashion before the end of 2016. High-powered computing at the edge enables autonomous target detection, identification and nomination at extended ranges and on-board processing reduces communication bandwidth requirements to share target information with other platforms. This is an important step towards greater automation, autonomous target detection, and rapid decision-making. GA-ASI will continue to work with AFRL to refine the capability and foster its transition to operational constructs that will improve warfighters' ability to operate in contested or denied environments. “Sensors have rapidly increased in fidelity, and are now able to collect vast quantities of data, which must be analyzed promptly to provide mission critical information,” an SRC white paper on Agile Condor from 2018 explains. “Stored data [physically on a drone] ... creates an unacceptable latency between data collection and analysis, as operators must wait for the RPA [remotely piloted aircraft] to return to base to review time sensitive data.” “In-mission data transfers, by contrast, can provide data more quickly, but this method requires more power and available bandwidth to send data,” the white paper continues. “Bandwidth limits result in slower downloads of large data files, a clogged communications link and increased latency that could allow potential changes in intel between data collection and analysis. The quantities of data being collected are also so vast, that analysts are unable to fully review the data received to ensure actionable information is obtained.” This is all particularly true for drones equipped with wide-area persistent surveillance systems, such as the Air Force's Gorgon Stare system, which you can read about in more detail here, that grab immense amounts of imagery that can be overwhelming for sensor operators and intelligence analysts to scour through. Agile Condor is designed to parse through the sensor data a drone collects first, spotting and classifying objects of interest and then highlighting them for operators back at a control center or personnel receiving information at other remote locations for further analysis. Agile Condor would simply discard “empty” imagery and other data that shows nothing it deems useful, not even bothering to forward that on. “This selective ‘detect and notify' process frees up bandwidth and increases transfer speeds, while reducing latency between data collection and analysis,” SRC's 2018 white paper says. “Real time pre-processing of data with the Agile Condor system also ensures that all data collected is reviewed quickly, increasing the speed and effectiveness with which operators are notified of actionable information.” At least at present, the general idea is still to have a human operator in the ‘kill chain' making decisions about how to act on such information, including whether or not to initiate a lethal strike. The Air Force has been emphatic about ensuring that there will be an actual person in the loop at all times, no matter how autonomous a drone or other unmanned vehicle may be in the future. An Air Force Research Laboratory briefing slide showing a concept of operations for how a drone might use Agile Condor to sense and avoid threats autonomously Still, developments such as Agile Condor will significantly reduce the amount of necessary human interaction in various parts of the targeting process, as well as general intelligence collection and initial analysis, and potentially much more, as time goes on. It could also fuse various forms of sensor data and other available intelligence together to specifically weight possible areas of interest over others and prioritize certain targets. The Air Force has also said that this system could use these capabilities to enable drones to navigate and detect and avoid potential threats automatically, including at times when its links to a control center or the GPS satellite navigation system are disrupted or blocked entirely. Sources: Press Release; The Drive https://www.uasvision.com/2020/09/07/ga-asi-demonstrates-ai-driven-targeting-computer-with-afrls-agile-condor-pod/