6 novembre 2023 | International, Aérospatial
“We have a responsibility to lead and advance the integration of the joint force," Air Force Chief of Staff Gen. David Allvin told airmen.
8 mars 2023 | International, Naval
AUKUS is expected to be its biggest defense project and offers the prospect of jobs in all three countries. In the early 2030's, Australia would buy 3 Virginia class submarines with the option to buy two more.
29 mai 2020 | International, C4ISR
By: Aaron Mehta WASHINGTON — With artificial intelligence expected to form the backbone of the U.S. military in the coming decades, the Army is launching a trio of new efforts to ensure it doesn't get left behind, according to the head of Army Futures Command. While speaking at an event Wednesday hosted by the Defense Writers Group, Gen. Mike Murray was asked about areas that need more attention as his command works to modernize the force. Murray pointed to a change in how the service does long-term planning, as well as two personnel efforts that could pay off in the long run. The first is something Murray has dubbed “Team Ignite,” which he described as “ad hoc, right now,” with a hope to formalize the process in the future. In essence, this means bringing in the teams that write the concept of operations for the military and having them work next to the technologists driving research and development efforts so that everything is incorporated early. “It has occurred to me for a long time that when we prepare concepts about how we will fight in the future, they are usually not informed by scientists and what is potentially out there in terms of technology,” Murray said. “And when we invest in technologies, rarely do we consult the concept writers to understand what type of technology will fundamentally change the way we fight in the future.” In Murray's vision, this means soon there will be “a concept writer saying, ‘If only I could [do something we can't do now], this would fundamentally change the way we would fight,' and a scientist or technologist saying, ‘Well, actually we can, you know, another 10-15 years,' and then vice versa,” he said. “Really using that to drive where we're investing our science and technology dollars, so that in 10 or 15 years we actually can fundamentally change the way we're going to fight.” The Futures Command chief also laid out two new efforts to seed understanding of AI throughout the force, saying that “a key component of the Army moving more and more into the area of artificial intelligence is the talent that we're going to need in the formation to do that.” Murray described a ”recently approved” masters program to be run through Carnegie Mellon University, focusing on bringing in “young officers, noncommissioned officers and warrant officers” to teach them about artificial intelligence. The course features four to five months of actual learning in the classroom, followed by five or six months working for the Army's AI Task Force. After that, the officers are sent back the force, bringing with them their AI experience. Additionally, Murray is in the early stages of standing up what he described as a “software factory” to try and identify individual service members who have some computer skills, pull them out of their normal rotations and give them training on “basic coding skills” before sending them back to the force. “We're going to need a lot of these types of people. This is just [the] beginning, to seed the Army with the types of talent we're going to need in the future if we're going to take advantage of data, if we're going to take advantage of artificial intelligence in the future,” he said. https://www.defensenews.com/land/2020/05/28/how-army-futures-command-plans-to-grow-ai-skills-in-the-service/
1 octobre 2018 | International, Naval
U.S. Navy research contract could make complex metal additive manufacturing a reality both in production centers and deep in the field DENVER, Oct. 1, 2018 /PRNewswire/ -- Today, 3-D printing generates parts used in ships, planes, vehicles and spacecraft, but it also requires a lot of babysitting. High-value and intricate parts sometimes require constant monitoring by expert specialists to get them right. Furthermore, if any one section of a part is below par, it can render the whole part unusable. That's why Lockheed Martin (NYSE: LMT) and the Office of Naval Research are exploring how to apply artificial intelligence to train robots to independently oversee—and optimize—3-D printing of complex parts. The two-year, $5.8 million contract specifically studies and will customize multi-axis robots that use laser beams to deposit material. The team will develop software models and sensor modifications for the robots to build better components. Lockheed Martin Metal 3D printer "We will research ways machines can observe, learn and make decisions by themselves to make better parts that are more consistent, which is crucial as 3-D printed parts become more and more common," said Brian Griffith, Lockheed Martin's project manager. "Machines should monitor and make adjustments on their own during printing to ensure that they create the right material properties during production." Researchers will apply machine learning techniques to additive manufacturing so variables can be monitored and controlled by the robot during fabrication. "When you can trust a robotic system to make a quality part, that opens the door to who can build usable parts and where you build them," said Zach Loftus, Lockheed Martin Fellow for additive manufacturing. "Think about sustainment and how a maintainer can print a replacement part at sea, or a mechanic print a replacement part for a truck deep in the desert. This takes 3-D printing to the next, big step of deployment." Currently, technicians spend many hours per build testing quality after fabrication, but that's not the only waste in developing a complex part. It's common practice to build each part compensating for the weakest section for a part and allowing more margin and mass in the rest of the structure. Lockheed Martin's research will help machines make decisions about how to optimize structures based on previously verified analysis. That verified analysis and integration into a 3-D printing robotic system is core to this new contract. Lockheed Martin, along with its strong team, will vet common types of microstructures used in an additive build. Although invisible from the outside, a part could have slightly different microstructures on the inside. The team will measure the performance attributes of the machine parameters, these microstructures and align them to material properties before integrating this knowledge into a working system. With this complete set of information, machines will be able to make decisions about how to print a part that ensures good performance. The team is starting with the most common titanium alloy, Ti-6AI-4V, and integrating the related research with seven industry, national lab and university partners. About Lockheed Martin Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company that employs approximately 100,000 people worldwide and is principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services. This year the company received three Edison Awards for ground-breaking innovations in autonomy, satellite technology and directed energy. SOURCE Lockheed Martin https://news.lockheedmartin.com/2018-10-01-Lockheed-Martin-Contract-to-Marry-Machine-Learning-with-3-D-Printing-for-More-Reliable-Parts