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  • New Pentagon research chief is working on lasers, AI, hypersonic munitions and more

    26 avril 2018 | International, Aérospatial, Naval, Terrestre, C4ISR, Sécurité

    New Pentagon research chief is working on lasers, AI, hypersonic munitions and more

    By: Todd South The new chief for research in the Pentagon is building an artificial intelligence center, pushing for self-driving vehicles in combat zones and more powerful lasers, and says solving the hypersonic gap means updating testing facilities. Defense Undersecretary for Research and Engineering Michael Griffin testified before the House Armed Services Committee last week, answering questions on a range of gear and procurement questions. But those most relevant to service members included weapons systems on the horizon that troops could see in combat with near peer adversaries. More rapid development will include the use of unmanned ground vehicles in formations. The Army recently announced the 10th Mountain Division and the 101st Airborne Division will have a robotic combat vehicle called the Squad Multipurpose Equipment Transport in the ranks this year for testing, which will develop the likely full-fielding gear mule-type robot. Simple tasks, such as delivering food, mail, water and fuel, could be automated sooner than some think, Griffin said. “I think, frankly, we're going to have self-driving vehicles in theater for the Army before we'll have self-driving cars on the streets,” Griffin said. “If that can be done by an automated unmanned vehicle with a relatively simple AI driving algorithm where I don't have to worry about pedestrians and road signs and all of that, why wouldn't I do that?” Griffin pointed to Chinese systems that have been fielded or can be soon fielded that can launch a strike and reach out “thousands of kilometers” from the Chinese shore and “hold our carrier battle groups or forward deployed forces on land” at risk. “We, today, do not have systems which can hold them at risk in a corresponding manner, and we don't have defenses against those systems,” Griffin told the House Armed Services Committee members on April 18. Another Chinese technology threat includes the nation's development of swarm drone technologies to counter U.S. airpower and other strengths. That means getting powerful laser systems up to snuff. But it won't happen tomorrow. “We need to have 100-kilowatt-class weapons on Army theater vehicles. We need to have 300-kilowatt-class weapons on Air Force tankers,” Griffin said. “We need to have megawatt-class directed energy weapons in space for space defense. These are things we can do over the next decade if we can maintain our focus.” Scientists he's been talking with have told him that level of laser power is five to six years away and a “megawatt laser” is within a decade with persistent investment. ‘An unacceptable situation' Sen. Martin Heinrich, D-N.M., pointed out that the testing facilities, such as White Sands Missile Range in his state, have scarcely seen any upgrades or improvements in the past two decades, despite leaps in technology for missiles, lasers and other items. Griffin agreed, saying at a low estimate at least 20 such testing facilities across the nation are in the same situation. He said the Defense Advanced Research Projects Agency does most of the leading-edge work on hypersonic missile systems and they have exactly one testing facility, a NASA wind tunnel near Langley, Virginia. “This is an unacceptable situation,” Griffin said. He promised to return with budget requests to renovate those facilities to improve testing. Sen. Gary Peters, D-Mich., asked about a new area of focus that has broad-reaching effects: artificial intelligence. Griffin oversees the creation of a Joint Artificial Intelligence Center that would create AI solutions for all the service branches. He deferred on the details but told members that he expected to return with a plan within two months. “We owe the Congress a report, I think, about two months from now on what our A.I. strategy will be. And the JAIC, the Joint Artificial Intelligence Center, will be a part of that overall strategy,” Griffin said. The plan must consider the 592 projects across the Defense Department that have AI as part of their development. https://www.defensenews.com/news/your-military/2018/04/24/new-pentagon-research-chief-is-working-on-lasers-ai-hypersonic-munitions-and-more/

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

    8 septembre 2020 | International, Aérospatial

    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/

  • Lockheed, U.S. government offer to sell 40 F-35As to Swiss air force

    20 novembre 2020 | International, Aérospatial

    Lockheed, U.S. government offer to sell 40 F-35As to Swiss air force

    By Christen McCurdy Nov. 19 (UPI) -- The U.S. government and Lockheed Martin submitted a proposal to the Swiss government offering up to 40 F-35A aircraft and a sustainment and training program. According to Lockheed Martin, the offering also includes an industrial package that would provide Swiss industry with work opportunities in all regions of the country. If the deal goes through, Lockheed said, Swiss industry would have the opportunity to compete for direct production of F-35 components as well as sustainment projects to support the Swiss air force and Swiss autonomy and cybersecurity projects related to the F-35. The offer also includes a six-month sustainment package that would allow the Swiss air force to conduct autonomous operations. The option would permit the assembly of four aircraft in Switzerland to help the Swiss air force and industry partners learn how to maintain the aircraft. "We are confident that our F-35 offer is the best and most affordable solution for the Swiss NFA competition," said Greg Ulmer, F-35 Program vice president and general manager. "We are offering the only 5th generation fighter at the cost of 4th generation aircraft while offering Switzerland an aircraft that will protect Swiss sovereignty for decades to come." Nine nations operate F-35s on their home soil, with more than 585 F-35s in service today, according to Lockheed. https://www.upi.com/Defense-News/2020/11/19/Lockheed-US-government-offer-to-sell-40-F-35As-to-Swiss-air-force/3561605814292/

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