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  8 novembre 2023 | International, Naval

  Navy surface drone fires its first missile during Middle East exercise

  The mini missile fire was part of an exercise by a unit working to develop the Navy's drone and artificial intelligence technologies.

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  26 septembre 2018 | International, Aérospatial

  Germany delays tender for military helicopters: document

  BERLIN (Reuters) - Germany's planned 4 billion euro ($4.71 billion) tender to buy new heavy-lift helicopters that was due to be issued this autumn will be delayed, according to an official document seen by Reuters on Wednesday. The planned start of the tender by the end of September would be “delayed until further notice,” the office in charge of military procurement said in a letter to several defense firms. The procurement office did not give a reason for the delay or say when the tender would be launched. “As soon as a new date is fixed, we will inform you immediately”, it said in the short letter. The Bundeswehr, the German military, is due to receive 45 to 60 heavy-lift transport helicopters in the coming decade. Defence Minister Ursula von der Leyen earlier indicated the tender could be delayed as financing of the project was not yet secured in the ongoing parliamentary budget negotiations. Von der Leyen, a member of Chancellor Angela Merkel's conservatives, is pushing for steeper military spending hikes, but she faces resistance from the Social Democrat-led finance ministry, which prefers more spending on infrastructure and digitalization. Reporting by Sabine Siebold; Writing by Michael Nienaber https://www.reuters.com/article/us-germany-defence/germany-delays-tender-for-military-helicopters-document-idUSKCN1M6110

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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/