US Navy completes testing of littoral combat ship's minesweeper system

Sur le même sujet

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  21 mai 2020 | International, C4ISR

  This platform will help train AI algorithms for the military

  Nathan Strout After landing a contract with the U.S. Air Force in April, California-based company Labelbox announced May 20 it is making its artificial intelligence training data platform available more widely to the federal government and intelligence community. Labelbox offers a software platform by the same name that allows development teams to manage the data used to train machine learning algorithms. For instance, in order for a machine learning tool to successfully begin identifying missile launchers in satellite imagery, it needs to be fed hundreds — or even millions — of pre-labeled pictures identifying the objects it needs to identify. The more accurate training data is fed to the algorithm, the better it works. Some government machine learning projects need to process petabytes of data per day, the company says, a flow of data that can be overwhelming. “Labelbox is an integrated solution for data science teams to not only create the training data but also to manage it in one place,” said CEO Manu Sharma in a statement. “It's the foundational infrastructure for customers to build their machine learning pipeline.” The platform can be used in the cloud or on-premises, allowing data science teams to work together across agencies or locations, the company claims. In April, the company announced it had won an Air Force Innovation Hub Network (AFWERX) Phase 1 Small Business Innovation Research contract to conduct feasibility studies on how their platform could integrate with ongoing Air Force efforts. Now, the company is partnering with Carahsoft Technology Corp. to make their platform more widely available to the federal government and the intelligence community. Carahsoft will be able to provide the platform to interested agencies through its NASA Solutions for enterprise-wide procurement contracts and reseller partners, the company announced May 20. https://www.c4isrnet.com/artificial-intelligence/2020/05/20/this-platform-will-help-train-ai-algorithms-for-the-military/

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  6 septembre 2023 | International, Aérospatial

  Upgraded F-35 deliveries could slip to June 2024

  The F-35 Joint Program Office says the upgraded jet is showing software troubles in flight tests, prompting it to push the schedule back.

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  18 septembre 2020 | International, Aérospatial, Terrestre

  Lockheed Aims For Laser On Fighter By 2025

  SYDNEY J. FREEDBERG JR. How do you keep a laser focused on a target moving at hundreds of miles per hour? The answer is crucial to Lockheed lasers being fitted on Army trucks and Air Force fighters over the next few years. WASHINGTON: “Lockheed Martin is working to fly a laser on tactical fighters within the next five years,” Lockheed laser expert Mark Stephen told reporters yesterday afternoon. “We're spending a lot of time to get the beam director right.” That beam director, which keeps the laser beam on target, is a crucial but easily overlooked component of future laser weapons. The Air Force Research Lab's SHiELD program aims to put defensive laser pod on fighters to defend them against incoming anti-aircraft missiles. An offensive laser to shoot down enemy aircraft would have to hit harder and at longer distances, so it's a more distant goal: Such weapons are envisioned for a future “sixth generation” fighter — like the NGAD prototype now in flight test — to follow the 5th-gen F-35, while the SHiELD pod will go on non-stealthy 4th gen aircraft like the F-16, as in this Lockheed video. But the company's new beam-director design is actually getting its first workout on an Army system, the truck-mounted IFPC Energy Laser, which will defend against artillery rockets, drones, and, potentially, subsonic cruise missiles. https://breakingdefense.com/2020/09/lockheed-aims-for-laser-on-fighter-by-2025/