U.S. Air Force Awards Boeing Nearly $1.7 Billion for Lot Six of KC-46 Tankers

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  20 septembre 2019 | International, Naval

  Saab Selected as Combat System Provider for Finnish Squadron 2020 Programme

  September 19, 2019 - In accordance with Finland's Ministry of Defence's proposition, the Government of Finland has today selected Saab as the combat system provider and integrator for the Finnish Navy's four new Pohjanmaa-class corvettes within the Squadron 2020 programme. Saab has not yet signed a contract or received an order relating to Squadron 2020. Finland's Ministry of Defence has stated that the contract is scheduled to be signed on 26 September 2019 and that the order value will be 412 million Euro. “This announcement marks a major milestone in Saab's relationship with Finland and we look forward to continuing to support the Finnish Navy's capabilities with our world-leading combat system expertise”, says Anders Carp, Senior Vice President and head of Saab business area Surveillance. The contract period will be 2019-2027 and the scope will include a range of solutions, including Saab's 9LV Combat Management System, related sensors and other systems. All of the Finnish Navy's current vessels feature at least one system from Saab, with the majority of vessels operating several systems from Saab. For further information, please contact: Saab Press Centre, Petter Larsson, Media Relations Manager +46 (0)734 180 018 presscentre@saabgroup.com www.saabgroup.com www.saabgroup.com/YouTube Follow us on twitter: @saab Saab serves the global market with world-leading products, services and solutions within military defence and civil security. Saab has operations and employees on all continents around the world. Through innovative, collaborative and pragmatic thinking, Saab develops, adopts and improves new technology to meet customers' changing needs. The information is such that Saab AB is obliged to make public pursuant to the EU Market Abuse Regulation and the Securities Markets Act. The information was submitted for publication, through the agency of the contact person set out above, on 19 September 2019 at 12.33 (CET). https://saabgroup.com/media/news-press/news/2019-09/saab-selected-as-combat-system-provider-for-finnish-squadron-2020-programme/

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  7 juin 2019 | International, Aérospatial, C4ISR

  Deep Learning Model Speeds Up, Automates Satellite Image Analysis

  Lockheed Martin (NYSE: LMT) develops satellite imagery recognition system using open-source deep learning libraries to quickly identify and classify objects or targets in large areas across the world, potentially saving image analysts countless hours manually categorizing and labeling items within an image. Global Automated Target Recognition runs in the cloud, using Maxar's Geospatial Big Data platform (GBDX) to access Maxar's 100 petabyte satellite imagery library and millions of curated data labels across dozens of categories that expedite the training of deep learning algorithms. Fast GPU's let GATR scan a large area very quickly, while deep learning methods automate object recognition and reduce the need for extensive algorithm training. GATR teaches itself what the identifying characteristics of an object area or target, for example, learning how to distinguish between a cargo plane and a military transport jet. The system scales quickly to scan large areas, including entire countries. GATR uses deep learning techniques common in the commercial sector and can identify ships, airplanes, buildings, seaports, and many other categories. “There's more commercial satellite data than ever available today, and up until now, identifying objects has been a largely manual process,” said Maria Demaree, vice president and general manager of Lockheed Martin Space Mission Solutions. “Artificial Intelligence models like GATR keep analysts in control while letting them focus on higher-level tasks.” GATR has a high accuracy rate, well over 90% on the models we've tested so far. It only took two hours to search the entire state of Pennsylvania for fracking sites – that's 120,000 square kilometers “I'm not an expert on what oil production sites are, and I don't have to be,” said Mark Pritt, senior fellow at Lockheed Martin and principle investigator for GATR. “This system teaches itself the defining characteristics of an object, saving valuable time training an algorithm and ultimately letting an image analyst focus more on their mission.” GATR builds on research Pritt's team pioneered during a Intelligence Advanced Research Projects Activity (IARPA) challenge, called the “Functional Map of the World.” The Lockheed Martin team was the only team from a company who placed in the top five. https://news.lockheedmartin.com/news-releases?item=128745

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  5 mai 2024 | International, Sécurité

  Hackers Increasingly Abusing Microsoft Graph API for Stealthy Malware Communications

  Nation-state hackers have a new trick - turning Microsoft's own cloud services into secret command centers to launch attacks undetected.