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January 15, 2024 | International, Aerospace

Albania receives two Black Hawk helicopters

A pair of US Army surplus Sikorsky UH-60A Black Hawk helicopters were delivered to Albania on 13 January, Albanian Minister of Defence Niko Peleshi disclosed on the same day. A file photo of a UH-60A Black Hawk, of the type that Albania has ...

https://www.janes.com/defence-news/defence/latest/albania-receives-two-black-hawk-helicopters

On the same subject

  • Hypersonics by the dozens: US industry faces manufacturing challenge

    August 9, 2019 | International, Aerospace, Naval, Land

    Hypersonics by the dozens: US industry faces manufacturing challenge

    By: Jen Judson HUNTSVILLE, Ala. —The U.S. military is a few years from launching offensive hypersonic weapons that are currently under development. But building those initial missiles is one thing — manufacturing the weapons in multitude is another issue entirely. “I would say we really need to understand, again, how can we produce precision hardware at scale,” Michael Griffin, the Pentagon's undersecretary of defense for research and engineering, told a group of reporters Aug. 7 at the Space and Missile Defense Symposium in Huntsville, Alabama. “If we talk about ballistic missile defense or hypersonic offense and we talk about proliferating architectures, we need any dozens, many hundreds, maybe thousands of assets,” he added. “This takes us back to the Cold War where at one point we had 30,000 nuclear warheads and missiles to launch them. We haven't produced at that kind of scale since the wall came down.” As hypersonic missiles become a reality, industry is going to have to relearn how to effectively, efficiently and economically produce them, Griffin said. While industry has developed warheads, glide bodies and other components, there is no industrial base equipped to manufacture hypersonic weapons. Things are moving in the right direction when it comes to bringing industry up to speed and preparing for larger-scale manufacturing of missiles, Griffin said. But building these systems is challenging because, for example, hypersonics require a greater degree of thermal protection than what has been required of other weapons in the past, he noted. Building hypersonics is no longer a technical issue or a matter of understanding physics, but rather an issue of understanding the industrial engineering required to produce a larger number. “I'm not sure how much help the government can be there,” he said. “Mass production is not what we do. ... That is going to be an industry problem.” The Army is just weeks away from awarding a contract to a company that will work with the federally funded laboratory that developed a hypersonic glide body to develop manufacturing plans and strategies. Other companies will have a turn as well. The effort is spearheaded by the service's Rapid Capabilities and Critical Technologies Office. Griffin stressed that the weapons manufacturing process needs to be affordable. “Our adversaries have clearly found ways to make them affordable. China has these things now by the thousands. What do we do to learn, once again, how to produce sophisticated things at scale and affordably?” he said. China is able to field new systems every few years, Griffin noted, while the U.S. takes a decade or more to get through a cumbersome acquisition process. “It don't believe that the issues facing the United States aerospace and defense establishment are issues of specific technologies,” he said. “I believe that over the last 30 years ... we've become lost in our processes.” https://www.defensenews.com/digital-show-dailies/smd/2019/08/08/hypersonics-by-the-dozens-us-industry-faces-manufacturing-challenge/

  • General Dynamics unit wins contract to build new light tank for infantry

    June 30, 2022 | International, Land

    General Dynamics unit wins contract to build new light tank for infantry

    General Dynamics Land Systems beats out BAE Systems in a competition to build and field Mobile Protected Firepower systems for the Infantry Brigade Combat Team.

  • L3Harris is building an AI tool to help process imagery

    March 19, 2020 | International, C4ISR

    L3Harris is building an AI tool to help process imagery

    By: Nathan Strout L3Harris is building a new platform that will help analysts in the military use artificial intelligence to identify objects in large imagery data sets. “In general, there's a big challenge with the amount of remote sensing data that's coming down, whether that's from space or airborne assets,” explained Will Rorrer, principal of business development for geospatial at L3Harris Technologies. “So there's lots of imagery and other data types coming down from above, so much so that it really can't be looked at in its entirety — certainly not exploited in its entirety — by traditional means (with) purely human analysts. And so things like counting objects in imagery, monitoring different places, that's where there's a natural adoption of machine learning type of techniques,” he continued. L3Harris officials declined to share who the end customer for their product will be or the exact value of their multimillion dollar contract, which was issued by the Air Force Life Cycle Management Center. It's no secret that the Department of Defense and the intelligence community are eager to use artificial intelligence tools to sift through the vast torrent of data created by an ever increasing number of sensors and pick out the most important information for human analysts. For its platform, L3Harris is focusing on creating the training data and workflows that will enable a machine learning tool to process data for the Department of Defense and provide deliverable intelligence. Machine learning platforms are essentially made of three parts: the training data the neural network will learn from, the machine learning algorithm itself, and then how the platform integrates into other Department of Defense systems. L3Harris will be working on what Rorrer calls the front end and the back end of the AI platform. “A lot of AI/ML technologies can be ported into that middle category,” he said. “Neural network applications that have been developed in commercial space can be brought in if we can address the front end and the back end of that in DoD space.” For nearly 30 years, L3Harris has been incorporated advanced modeling and simulation capabilities to test out new payloads and optical systems, using computers to plot out how the atmosphere and other factors will impact their technologies. Now the company plans to use those modeling and simulation tools to develop the training data that will teach a machine learning algorithm how to solve complex DoD problems, such as identifying a threatening object within satellite imagery. “All of that summed up—we make very good fake imagery,” said Rorrer. “ We've taken that technology that was essentially developed for another reason and pivoted (to using it) as a source of synthetic training data for these neural net applications.” Synthetic training data can be especially important for developing DoD or intelligence community AI applications, since there's often not enough real world imagery of the threats they're focused on, said Rorrer. L3Harris believes that they can create fake imagery that looks enough like the real thing that when real imagery is fed into the algorithm it can find the objects it's supposed to. https://www.c4isrnet.com/intel-geoint/2020/03/18/l3harris-is-building-an-ai-tool-to-help-process-geoint/

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