US Navy announces intent to ink $10B in contracts for first 2 Columbia subs

On the same subject

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  November 17, 2021 | International, C4ISR

  Thales dévoile un radar de surveillance aérienne aux capacités de traitement cinq fois plus élevées

  Thales a dévoilé un nouveau radar aux performances significativement accrues par rapport à celles affichées par ses précédents modèles de la gamme GM400. Le radar Ground Master 400 Alpha dispose d'une puissance de traitement cinq fois plus élevée et d'algorithmes d'intelligence artificielles « avancés ». Radar 3D à longue portée, le GM400 Alpha pourra constituer pour les forces armées un « outil précieux pour obtenir un avantage tactique, en détectant tous les types de menaces de manière précoce, offrant ainsi de précieuses minutes pour la prise de décision et l'action », assure l'industriel. Le fonctionnement de ce GM400 Alpha repose sur la technologie numérique à faisceaux superposés, ce qui lui permet de détecter des cibles « allant des jets et missiles rapides aux hélicoptères et drones en vol stationnaire ». Surtout, Thales insiste sur sa capacité à détecter et à poursuive la menace des « drones tactiques volant près du sol », tout en faisant de même, simultanément, pour les chasseurs-bombardiers évoluant à plus haute altitude. Opex360 du 15 novembre

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  June 2, 2024 | International, Security

  Russian Hackers Target Europe with HeadLace Malware and Credential Harvesting

  Russian GRU-backed threat actor APT28 is behind campaigns targeting networks across Europe with HeadLace malware and credential-harvesting web pages.

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  June 7, 2019 | International, Aerospace, 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