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March 25, 2024 | International, Land

The robots are coming: US Army experiments with human-machine warfare

But before it works, the service must break from antiquated acquisition processes that prevent rapid purchases and slow down deliveries to soldiers.

https://www.defensenews.com/unmanned/2024/03/25/the-robots-are-coming-us-army-experiments-with-human-machine-warfare/

On the same subject

  • DARPA Funding Brings Machine Learning to BAE Systems’ Signals Intelligence Capabilities

    July 8, 2019 | International, Aerospace, Other Defence

    DARPA Funding Brings Machine Learning to BAE Systems’ Signals Intelligence Capabilities

    HUDSON, N.H.--(BUSINESS WIRE)--BAE Systems has been awarded funding from the Defense Advanced Research Projects Agency (DARPA) to integrate machine-learning (ML) technology into platforms that decipher radio frequency signals. Its Controllable Hardware Integration for Machine-learning Enabled Real-time Adaptivity (CHIMERA) solution provides a reconfigurable hardware platform for ML algorithm developers to make sense of radio frequency (RF) signals in increasingly crowded electromagnetic spectrum environments. The up to $4.7 million contract, dependent on successful completion of milestones, includes hardware delivery along with integration and demonstration support. CHIMERA's hardware platform will enable algorithm developers to decipher the ever-growing number of RF signals, providing commercial or military users with greater automated situational awareness of their operating environment. This contract is adjacent to the previously announced award for the development of data-driven ML algorithms under the same DARPA program (Radio Frequency Machine Learning Systems, or RFMLS). RFMLS requires a robust, adaptable hardware solution with a multitude of control surfaces to enable improved discrimination of signals in the evolving dense spectrum environments of the future. “CHIMERA brings the flexibility of a software solution to hardware,” said Dave Logan, vice president and general manager of Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) Systems at BAE Systems. “Machine-learning is on the verge of revolutionizing signals intelligence technology, just as it has in other industries.” In an evolving threat environment, CHIMERA will enable ML software development to adapt the hardware's RF configuration in real time to optimize mission performance. This capability has never before been available in a hardware solution. The system provides multiple control surfaces for the user, enabling on-the-fly performance trade-offs that can maximize its sensitivity, selectivity, and scalability depending on mission need. The system's open architecture interfaces allow for third party algorithm development, making the system future-proof and easily upgradable upon deployment. Other RF functions, including communications, radar, and electronic warfare, also can benefit from this agile hardware platform, which has a reconfigurable array, front-end, full transceiver and digital pre-processing stage. Work on these phases of the program will take place at BAE Systems' sites in Hudson and Merrimack, New Hampshire, and Dallas, Texas. https://www.businesswire.com/news/home/20190708005199/en

  • GEARS of war: US Army picks 3 companies to advance autonomous resupply

    December 19, 2023 | International, Land, C4ISR

    GEARS of war: US Army picks 3 companies to advance autonomous resupply

    The initial arrangements, announced earlier this month, are worth millions of dollars. Additional phases of work are expected in the future.

  • LOCKHEED MARTIN AND DRONE RACING LEAGUE LAUNCH GROUNDBREAKING AI INNOVATION CHALLENGE

    September 6, 2018 | International, Aerospace

    LOCKHEED MARTIN AND DRONE RACING LEAGUE LAUNCH GROUNDBREAKING AI INNOVATION CHALLENGE

    SAN FRANCISCO, Sept. 5, 2018 /PRNewswire/ -- Lockheed Martin (NYSE: LMT) and Drone Racing League (DRL) today announced an innovation competition, challenging teams to develop artificial intelligence (AI) technology that will enable an autonomous drone to race a pilot-operated drone – and win. Participating teams will compete in a series of challenges for their share of over $2 million in prizes. Lockheed Martin Chief Technology Officer Keoki Jackson announced the challenge at TechCrunch Disrupt San Francisco, kicking off a multi-year partnership with DRL, the global professional circuit for drone racing. The AlphaPilot Innovation Challenge will enlist university students, technologists, coders and drone enthusiasts to push the boundaries of AI, machine learning (ML) and fully autonomous flight. "At Lockheed Martin, we are working to pioneer state-of-the-art, AI-enabled technologies that can help solve some of the world's most complex challenges – from fighting wildfires and saving lives during natural disasters to exploring the farthest reaches of deep space," said Jackson. "Now, we are inviting the next generation of AI innovators to join us with our AlphaPilot Innovation Challenge. Competitors will have an opportunity to define the future of autonomy and AI and help our world leverage these promising technologies to build a brighter future." The AlphaPilot challenge aims to accelerate the development and testing of fully autonomous drone technologies. AlphaPilot participants will design an artificial intelligence/machine learning framework, powered by the NVIDIA Jetson platform for AI at the edge, capable of flying a drone – without any pre-programming or human intervention – through challenging multi-dimensional race courses in DRL's new Artificial Intelligence Robotic Racing (AIRR) Circuit. "Since 2016, DRL has been the proving ground for the world's most talented human pilots, showcasing their abilities to race remotely piloted drones at high speeds. This challenge changes the game," said DRL CEO and Founder Nicholas Horbaczewski. "How close is AI performance to the world's best human piloting? We're excited to find out next year when AlphaPilot drones compete in adrenaline-packed, futuristic drone races on complex courses in the AIRR Circuit. Our collaboration with Lockheed Martin will both accelerate AI innovation and redefine the sport of the future." The Lockheed Martin AlphaPilot Innovation Challenge will open for entries in November. Selected participants are eligible for over $2 million in cash prizes, including an extra $250,000 award for the first team that outperforms a professional DRL human-piloted drone. Undergraduate and graduate students, drone enthusiasts, coders and other technologists interested in learning more and applying to participate can visit lockheedmartin.com/alphapilot. Lockheed Martin is funding the AlphaPilot Innovation Challenge through savings from the Tax Cuts and Jobs Act of 2017. The corporation is also using savings from tax reform to increase its investments in research and development and capital expenditures, employee training and educational opportunities, investment in technology startups, and STEM education programs. About Lockheed Martin Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company that employs approximately 100,000 people worldwide and is principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services. This year, the company received three Edison awards for groundbreaking innovations in autonomy, satellite technology and directed energy. About Drone Racing League DRL is the professional drone racing circuit for elite FPV pilots around the world. A technology, sports and media company, DRL combines world-class media and proprietary technology to create thrilling 3D drone racing content with mass appeal. Founded by Nicholas Horbaczewski in 2015, DRL is a privately held company headquartered in NYC. For more information on DRL, visit www.drl.io SOURCE Lockheed Martin https://news.lockheedmartin.com/2018-09-05-Lockheed-Martin-and-Drone-Racing-League-Launch-Groundbreaking-AI-Innovation-Challenge

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