Germany pledges to make its military 'the backbone of defence in Europe' | Reuters

Sur le même sujet

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  18 juillet 2023 | International, Aérospatial

  Teledyne FLIR Defense Awarded Contract to Supply 1,000 More Black Hornet Nano-Drones to Ukraine

  The Norwegian MOD will procure an additional 1,000 Black Hornet UAS, as well as spare parts, maintenance, and training for Ukrainian operators and instructors

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  15 octobre 2020 | International, Aérospatial, Terrestre, C4ISR

  Afghanistan deployment proves One World Terrain is more than a training tool

  Jen Judson WASHINGTON — The U.S. Army began building an entire virtual world a few years ago for its Synthetic Training Environment (STE) to bring accuracy and a real-life feel to training, but a deployment of One World Terrain in Afghanistan has proved it's not just a training tool, according to Maj. Gen. Maria Gervais, who is in charge of the service's STE development. One World Terrain, or OWT, compiles realistic and, in some cases, extremely accurate virtual maps of territory all over the globe. The idea is to be able to click on any place on a virtual globe and go there. Soldiers can then train virtually in an exact environment in which they can expect to operate in reality. “We're seeing now there are better uses for operational capability,” Gervais told Defense News in an Oct. 8 interview ahead of the Association of the U.S. Army's annual conference. “And it's helping us inform how do we now expand this to meet training, operational and also targeting requirements.” It all began with a unit that used OWT for training at the National Training Center on Fort Irwin, California, and saw value in it, Gervais said. When the unit deployed to Afghanistan, the soldiers asked to take the system — which included a drone and software — she said. The unit was able to capture terrain for the purpose of mission-planning rehearsal and route planning. But the soldiers also used it to take an in-depth look at the forward-operating base to see how it was set up and analyze it for vulnerabilities. “I will tell you from that usage, they figured out they had to make some changes,” Gervais said. “And then they went out and they started looking at other operating bases within their area. They expanded it.” The system “immediately started proving its utility to them,” she said, “but from that unit from what they were able to do, we then were able to take the next unit that was coming in behind them and provide all that information to them and allow them to understand how One World Terrain could be used.” The Army's 82nd Airborne Division also used the system prior to deploying to another theater. The division captured the terrain, using it for predeployment planning and mission rehearsals, including how and where to set up a base and where to position electronic warfare systems. OWT also helped the 25th Infantry Division out of Hawaii prepare for a Joint Training Readiness Center rotation, and its members also plan to use it during the exercise. These uses have led the Army to provide more drones and software for more units, Gervais said. Starting in December and January, the Army will begin fielding “a little bit more capability,” she added. In March, the STE team went to Germany to observe an assured position, navigation and timing exercise that included a sensor-to-shooter, live-fire drill. The team worked with the 1st Cavalry Division's intelligence analysts and put OWT on the Distributed Common Ground System-Army (DCGS-A) system, which is an intelligence analysis platform. “We showed them the capability, and what came out of there was pretty astounding,” Gervais said. With 3D terrain from OWT in the system, decisions could be made more quickly because there was no need to compare two different databases and reason against it, she said. That cut workload by about 60 percent, she added. OWT was on a DCGS-A system at Project Convergence at Yuma Proving Ground, Arizona, this year, Gervais said, and it showed the realm of the possible from a targeting perspective. While the STE had a limited scope during Project Convergence, “we're going to be more integrated in Project Convergence 21 next year,” she added, so that “everybody's kind of operating off the 3D terrain.” https://www.defensenews.com/digital-show-dailies/ausa/2020/10/14/afghanistan-deployment-proves-one-world-terrain-is-more-than-a-training-tool/

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  3 février 2021 | International, C4ISR

  With Deepwave Digital, Northrop Grumman is pushing processing to the edge

  Nathan Strout WASHINGTON — Northrop Grumman says a new investment into small startup Deepwave Digital will allow it to push data processing much closer to the point of collection, decreasing the amount of data that needs to be transported and getting products to war fighters faster. Northrop Grumman will install Deepwave Digital's artificial intelligence solution on airborne and on orbit payloads, said Chris Daughters, the company's vice president of research, technology and engineering for aeronautics systems. With the AI incorporated into the payload, the satellite or aircraft will no longer need to send data back to the ground to be processed. Instead, the payload will process the data itself. The innovation, said Daughters, is in incorporating the AI software with the hardware used in various Northrop Grumman payloads. “Deepwave Digital really has an innovative architecture that blends artificial intelligence with some advanced hardware in the RF [radio frequency] domain, whereas a lot of artificial intelligence in the past has always been focused on, I'll just say, mining and scrubbing really big data or maybe doing customized things with video or audio,” said Daughters. In other words, the AI is able to process data at the edge, at the point of collection, instead of sending it down to Earth to be processed independently. “We have a lot of RF payload systems that collect information or collect intelligence for the war fighters and the government as a whole, and by embedding this innovative hardware and AI software, we are able to essentially filter and optimize and scrub and prioritize the data much nearer to the point of collection for that information,” said Daughters. AI has been key to the military's efforts to manage the torrent of data collected by government and commercial satellites, which is simply too much for human analysts to sort through on their own. While progress has been made in using AI to process satellite imagery, military officials are now tackling a related problem: the sheer amount of raw data being pushed out over the networks for processing at remote locations. To reduce the bandwidth needed for satellite imagery, U.S. Army officials say the military needs to shift to edge processing, meaning applying AI to the data and then sending the finished product out over the network instead of all of the raw data. “Edge processing is something that we're very interested in for a number of reasons. And what I mean by that is having smart sensors that can not only detect the enemy, [but] identify, characterize and locate, and do all those tasks at the sensor processing,” said John Strycula, director of the Army's task force focused on intelligence, surveillance and reconnaissance, at an October AUSA event. “If I only have to send back a simple message from the sensor that says the target is here ― here's the location and here's what I saw and here's my percent confidence ― versus sending back the whole image across the network, it reduces those bandwidth requirements,” he added. Daughters said Northrop Grumman is working to incorporate Deepwave Digital's AI solution into products in development or in limited production in the “very near term.” “The capability exists now. We just need to integrate it in with the systems,” said Daughters. “Our research and technology organization is already looking at how we could be injecting this hardware and AI capability in some of the systems that exist right now or very near term.” While the company is applying the AI to both space and airborne systems, the technology can be more easily integrated with airborne systems, where payloads can be more easily accessed or swapped out. https://www.c4isrnet.com/intel-geoint/2021/02/02/with-deepwave-digital-northrop-grumman-is-pushing-processing-to-the-edge/