Ireland's Watchdog Launches Inquiry into Google's AI Data Practices in Europe

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  30 novembre 2020 | International, Terrestre

  Rheinmetall unveils new ground robot for armed reconnaissance

  By: Sebastian Sprenger COLOGNE, Germany — Rheinmetall has unveiled a new scouting configuration of its Mission Master ground robot, ratcheting up competition in a European market segment that is set to heat up in the coming years. The new version features a suite of sensors mounted on a collapsible, 3.5-meter mast, including an infrared sensor, a surveillance radar and a 360-degree camera. A laser rangefinder and target designator are also included on the vehicle, as is a 7.62mm gun on a remote-controlled weapon station, according to a company statement. “The Mission Master-Armed Reconnaissance is designed to execute high-risk scouting missions and deliver a real-time common operating picture without putting soldiers in danger,” the German company said. The six-wheeled vehicle's autonomous functions are powered by Rheinmetall's PATH kit, which the company advertises as a means to turn any vehicle into an unmanned platform. Multiple vehicles can be combined to operate as part a “Wolf Pack” cluster, a technology enabling communications, cueing and targeting toward a common mission objective, according to Rheinmetall. Ground robots with varying degrees of autonomy are rapidly becoming critical for ground forces worldwide. Cargo transport and surveillance are some of the most obvious applications. While some of the new robots carry weapons, Western manufacturers have shied away from connecting their most advanced autonomy algorithms to the process of firing them. Rheinmetall's Mission Master series is something of a counterpoint to Estonia's Milrem Robotics, which has been making inroads with European ground forces through its tracked THeMIS vehicle. Milrem has advertised its operational experience by way of a THeMIS deployment with the Estonian military to the French-led Barkhane counterterrorism mission in Mali. Milrem also sits atop a smattering of European companies charged with developing a common architecture for unmanned ground vehicles under the umbrella of the European Defence Industrial Development Programme. The effort is named iMUGS, which is short for “integrated Modular Unmanned Ground System,” and it received roughly $36 million in European Union funding over the summer. “The ambition is no less than developing an F-16 [fighter jet] of unmanned ground systems,” Kusti Salm, director general of the Estonian Centre for Defence Investments, was quoted as saying by the Baltic Times website in 2019. The iMUGS effort centers around Milrem's THeMIS vehicle as a prototype platform. Notable European land warfare companies are part of the consortium, including Germany's Krauss-Maffei Wegmann and France's Nexter. Absent from the EU-endorsed roster is Rheinmetall, which has mounted its own marketing and outreach campaign for the Mission Master series. Earlier in November, the company announced it had given a sample vehicle to the Royal Netherlands Army for experimentation. The robot will undergo a two-year evaluation toward what Rheinmetall described as “Future Manoeuvre Elements” to aid Dutch ground forces during operations. The Dutch previously ordered the THeMIS from Milrem. During the spring, Rheinmetall delivered four Mission Master vehicles configured for cargo transport to U.K. forces. “These unmanned ground vehicles will form part of the United Kingdom's Robotic Platoon Vehicle program,” Rheinmetall said in a statement at the time. “This program is designed to determine the extent to which unmanned vehicles can boost the combat effectiveness and capabilities of dismounted troops at platoon level.” https://www.defensenews.com/global/europe/2020/11/29/rheinmetall-unveils-new-ground-robot-for-armed-reconnaissance

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  14 novembre 2024 | International, C4ISR, Sécurité

  Google Warns of Rising Cloaking Scams, AI-Driven Fraud, and Crypto Schemes

  Google exposes cloaking scams targeting users with fake sites and AI-driven fraud, bolstering defenses with real-time scam detection.

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  16 mai 2018 | International, Aérospatial

  The US Air Force Is Adding Algorithms to Predict When Planes Will Break

  The airlines already use predictive maintenance technology. Now the service's materiel chief says it's a “must-do for us.” The U.S. Air Force has started to use algorithms to predict when its aircraft will break, part of an effort to minimize the time and money they consume in the repair shop. The use of predictive analytics has been blazed by airlines, which monitor their fleets' parts in an effort to replace broken components just before — and crucially, not after — they break. “I believe it is a must-do for us,” said Gen. Ellen Pawlikowski, the head of Air Force Materiel Command, the arm of the Air Force that oversees the maintenance of its planes. She spoke Tuesday at a Defense Writers Group breakfast in Washington. “We see this as a huge benefit.” If the Air Force could reduce the risk of unexpected breakage — and the attendant need to fly replacement parts and repair crews around the globe — it could reduce costs and boost mission effectiveness. It could also increase the usefulness of the current fleet by reducing the number of aircraft that need to be be held in reserve as backups. It starts with gathering data, such as the temperature of engine parts or the stresses on the airframe. “We are trying to leverage what we already get off of airplanes, as opposed to trying to go in and put instruments in places,” Pawlikowski said. “It turns out there's quite a bit that's there, but it may not be a direct measurement. In order to measure the temperature in this one particular spot, I'm getting information somewhere else.” Artificial intelligence and machine learning can then determine patterns. The general said the Air Force has been learning a lot from Delta, the world's second-largest commercial airline. “Delta has demonstrated the effectiveness of predictive maintenance in dramatically reducing the number of delays to flights due to maintenance,” she said. Over the past three years, Air Mobility Command — the arm of the Air Force that oversees all of its large cargo planes and aerial refueling tankers — has been organizing the data it collects on some of its planes. It has started using the predictive maintenance technology on its massive C-5 airlifters. The Air Force is also using the technology on the B-1 bomber. “The B-1 is an airplane that we actually bought with a whole bunch of data that we weren't using,” Pawlikowski said. “We started to take that data in and start to analyze it....We're very excited about this because we see huge potential to improve aircraft availability and drive down the cost.” She said she “was impressed when I saw some of the data that they were showing me.” The Air Force Lifecycle Management Center, which reports to Pawlikowski, has been funding these trials “by finding the loose change in the seat cushions,” she said. “As we have now shown some things ... we're seeing more and more interest in it and we're looking at increasing the investment in that to bring it further,” Pawlikowski said of the predictive maintenance. Last September, Gen. Carlton “Dewey” Everhart, head of Air Mobility Command, stressed his desire to use predictive maintenance, but warned it would cost money to get the datafrom the companies that make the planes. “In some cases, we'll be working this collaboratively with our industry partners,” Pawlikowski said Tuesday. “In other cases, we'll be doing it completely organically.” Air Mobility Command is also using predictive maintenance technology on the C-130J airlifter. The latest version of the venerable Lockheed Martin cargo plane — the J model — collects reams of data as it flies. In April, the Lockheed announced it was teaming with analytics firm SAS to crunch that data. “Everything we've been doing up to a certain point has been looking in the rear-view mirror with the data,” said Lockheed's Duane Szalwinski, a senior manager with his company's sustainment organization who specializes in analytics. “We're going to be able to look forward.” Lockheed is working on a six-month demonstration for Air Mobility Command; officials hope to be able to predict when certain parts will break before a flight. “If we're able to do that, it kind of changes the game in how you maintain and operate a fleet,” Szalwinski said. The data will give military planners a wealth of information about their aircraft that could help determine the best aircraft to deploy. “All those things you now know you have insights as to what you will need at the next flight, so you act accordingly,” he said. “Once we prove that we understand the probability of failure of these parts ... all things then become possible,” Szalwinski said. “Now it's not a matter of if, it's a matter of when. And if you know when, you can start acting accordingly. It would be a gamechanger in the way you manage a fleet.” Lockheed also wants to use the predictive maintenance tech on the F-35 Joint Strike Fighter. “The beauty of this is that the toolsets that we're developing, the models, how we clean the data, how we build the models, how we build the algorithms, all of that is not unique to a platform,” Szalwinski said. Still, instituting predictive maintenance practices fleet-wide is not going to happen overnight, particularly as since it will take time to understand the data, Pawlikowski said. Using this technology will require a cultural shift among maintenance crews because they'll be replacing parts before they actually fail, Pawlikowski said. “One of the big benefits is the reduction in the amount of time the airmen on the flightline spends troubleshooting a broken part” because “we will take them off before they break,” she said. https://www.defenseone.com/business/2018/05/us-air-force-adding-algorithms-predict-when-planes-will-break/148234/