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U.S. Army

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Headlines · 5

  1. Airbus demos MQ-72C unmanned helicopter to US Army with Shield AI autonomy

    Airbus flew a self-funded demonstration of its MQ-72C unmanned helicopter for the U.S. Army near Huntsville, Alabama, completing five flights that included complex hovering and standard takeoff and landing patterns. During one test, the aircraft autonomously decided how to reroute around a no-fly zone that appeared mid-flight, with the onboard safety pilot never taking control. The MQ-72C is based on the UH-72B Lakota and was developed with L3Harris, Shield AI and Parry Labs, carrying forward and rear-facing LiDAR plus a nose electro-optical camera, with Shield AI's Hivemind autonomy software interpreting the data and making decisions. Airbus said that since this summer the aircraft has been commanded via a Parry Labs ground control station over Starlink, giving it beyond-line-of-sight control at ranges up to about 70 miles (roughly 113 km).

    科技新报 · 🔥 7
  2. General Dynamics taps Primordial Labs' Anura voice control for Abrams, Stryker

    General Dynamics Land Systems and Primordial Labs announced a master agreement on Oct. 7, 2026 to expand the Anura natural-language control system across the company's platforms, with potential applications including the M1 Abrams main battle tank, the Stryker armored vehicle and the Army's XM30 fighting vehicle planned to replace the M2 Bradley. Anura is not meant to make tanks conversational AI robots; instead it uses everyday speech as a unified human-machine interface so crews can call up camera feeds, switch radio channels or send reports, reducing workload. The system runs locally on the vehicle without cloud AI services, is reportedly not yet installed on XM30 prototypes undergoing Army testing, and the companies do not plan to have it control weapon firing systems.

    cnBeta · 🔥 0
  3. US Army AI gear trial in July exercise hit snags like drone overheating, WSJ reports

    The Wall Street Journal reports that US soldiers testing AI-related technology during a July desert exercise encountered problems including drones overheating. The report says the trial exposed equipment limitations and institutional hurdles in the Army's push to modernize and keep pace with an AI-savvy adversary. Published details are limited, and specific equipment models and the scale of the exercise were not disclosed.

    Techmeme · 🔥 0
  4. US Army's Project Convergence drill falls short on AI battlefield tech

    The U.S. Army's Project Convergence exercise in July brought roughly 9,700 soldiers to Fort Irwin in the Mojave Desert for a 10-day, round-the-clock simulated battle that briefing materials billed as a look at an "AI-enabled battlefield." Reporting from the event describes Anduril drones forced to land by heat near 110°F, a Theiss drone that took about 10 minutes to launch, newly purchased communications gear that fell short, and defects in augmented-reality headsets; officials said much of the contracted technology remains experimental. The piece also notes Defense Secretary Hegseth's push to turn the Army into an AI-driven force with drones and 3D printing, and that the AI-assisted Next-Generation Command and Control System is budgeted at $4 billion this year.

    cnBeta · 🔥 0
  5. Gallatin AI raises $50M Series A for military logistics platform Navigator

    Gallatin AI, a developer of military logistics software, announced a $50 million Series A with participation from 8VC, Silent Ventures and several others; the El Segundo, California-based company says it previously raised a $15 million seed round in 2024, bringing total funding to $70 million. Its Navigator platform aggregates supply-chain records from multiple systems into a standardized form, then uses AI to build dashboards, map overlays and forecasts of when supplies will run out. Gallatin says the U.S. Army and U.S. Air Force are customers, and that the platform is also available to the Defense Department's commercial logistics partners.

    Techmeme · 🔥 0

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