Ukraine buys six French Caesar howitzers, France to supply missiles

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  2 juin 2024 | International, Sécurité

  Beyond Threat Detection – A Race to Digital Security

  Digital content sharing has exponentially increased cyber threat risks. Everfox’s prevention-based approach is the future of cybersecurity.

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  12 juin 2020 | International, Sécurité

  The Army AI task force takes on two ‘key’ projects

  Andrew Eversden The Army's artificial intelligence task force is working on two key projects, including one that would allow unmanned vehicles in the air to communicate with autonomous vehicles on the ground, after securing new funding, a service official said June 10. Gen. Mike Murray, commander of Army Futures Command, said during a June 10 webinar hosted by the Association of the United States Army that the task force has moved forward on the projects through its partnership with Carnegie Mellon University, launched in late 2018 . First, the team is working on programs dedicated to unmanned-unmanned teaming, or developing the ability of air and ground unmanned vehicles to talk to one other. The other effort underway is on a DevSecOps environment to develop future algorithms to work with other Army systems, Murray said. He did not offer further detail. The task force force has fewer than 15 people, Murray said, and fiscal 2021 will be the first year that it receives appropriated funds from Congress. Much of the work the task force has done so far as been building the team. In response to an audience question, Murray said that the task force is not yet working on defending against adversarial machine learning, but added that leaders recognize that's an area the team will need to focus on. “We're going to have to work on how do we defend our algorithms and really, how do we defend our training data that we're using for our algorithms," Murray said. In order to train effective artificial intelligence, the team needs significant amounts of data. One of the first projects for the task force was collecting data to develop advanced target recognition capabilities. For example, Murray said, being able to identify different types of combat vehicles. When the work started, the training data for target recognition didn't exist. “If you're training an algorithm to recognize cats, you can get on the internet and pull up hundreds of thousands of pictures of cats,” Murray said. “You can't do that for a T-72 [a Russian tank]. You can get a bunch of pictures, but are they at the right angles, lighting conditions, vehicle sitting camouflaged to vehicle sitting open desert?” Murray also said he recognizes the Army needs to train more soldiers in data science and artificial intelligence. He told reporters in late May that the Army and CMU have created a masters program in data science that will begin in the fall. He also said that the “software factory,” a six- to 12-week course to teach soldiers basic software skills. That factory will be based in Austin, where Futures Command is located, and will work with industry's local tech industry. “We have got to get this talent identified I'm convinced we have it in our formations,” Murray said. https://www.c4isrnet.com/artificial-intelligence/2020/06/10/the-army-ai-task-force-takes-on-two-key-projects/

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  30 juin 2020 | International, Aérospatial

  Army selects eight counter-drone systems for the joint force

  Nathan Strout Following an Army-led assessment, the Defense Department will be narrowing the number of different counter-small unmanned aircraft system solutions deployed by the joint force from about 40 to eight. In November, the defense secretary delegated the Army to lead an effort to reduce redundancy in the development and fielding of various C-sUAS solutions by the services. The Army subsequently set up the Joint C-sUAS Office to conduct that assessment, and over the last few months the office has worked to narrow down the dozens of counter-drone systems fielded by the services. “Our goal is to align existing and future Counter-UAS technology solutions to best address operational needs while applying resources more efficiently,” Maj. Gen. Sean Gainey, the JCO's first director, said during a media call June 26, one day after the assessment results were announced. “This is really why the organization was stood up — to eliminate the redundancy that was being fielded.” That assessment, which Defense Department leadership have approved, looked at approximately 40 systems, about 30 of which were primarily used for the C-sUAS mission, said the director. The assessment concluded that the joint force should move forward with fielding just eight different systems — a variety of fixed, mounted and dismounted solutions. “So essentially moving forward, we will focus our investments,” Gainey said. “The services have each been assigned sponsor of each one of those systems, so as we move this forward as a joint approach, it will coordinate the future upgrades to these systems and the contracting of these systems across the joint force.” C-sUAS systems that were not included in the final selection will be replaced by the approved systems, although JCO could not provide a timeline for how quickly this will take place, how much it will cost or how many units will need to be replaced across the services. Gainley noted that the services are currently conducting an analysis of how many systems will need to be replaced. Of the eight approved solutions, three are fixed, one is mounted and three are dismounted. The approved C-sUAS systems are as follows: 1) Fixed/Semi-Fixed Systems Fixed Site-Low, Slow, Small Unmanned Aircraft System Integrated Defeat System (FS-LIDS), sponsored by the Army Negation of Improvised Non-State Joint Aerial-Threats (NINJA), sponsored by the Air Force Counter-Remote Control Model Aircraft Integrated Air Defense Network (CORIAN), sponsored by the Navy 2) Mounted/Mobile System Light-Mobile Air Defense Integrated System (L-MADIS), sponsored by the Marine Corps 3) Dismounted/Handheld Systems Bal Chatri, sponsored by Special Operations Command Dronebuster, no sponsor, commercial off-the-shelf capability Smart Shooter, no sponsor, commercial off-the-shelf capability 4) Command and Control Forward Area Air Defense Command and Control (FAAD-C2), sponsored by the Army (includes FAAD-C2 interoperable systems like the Air Force's Air Defense System Integrator (ADSI) and the Marine Corps' Multi-Environmental Domain Unmanned Systems Application Command and Control (MEDUSA C2)) https://www.c4isrnet.com/unmanned/2020/06/26/army-selects-eight-counter-drone-systems-for-the-joint-force/