{"id":21603,"date":"2023-08-03T00:00:00","date_gmt":"2023-08-03T00:00:00","guid":{"rendered":"https:\/\/adn.monetizemail.com\/?p=21603"},"modified":"2023-08-04T06:42:00","modified_gmt":"2023-08-04T06:42:00","slug":"afrl-ai-agents-successfully-pilot-xq-58a-valkyrie-uncrewed-jet-aircraft","status":"publish","type":"post","link":"https:\/\/adn.monetizemail.com\/?p=21603","title":{"rendered":"AFRL AI agents successfully pilot XQ-58A Valkyrie uncrewed jet aircraft"},"content":{"rendered":"
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WRIGHT-PATTERSON AIR FORCE BASE, Ohio (AFNS) — \u00a0<\/strong><\/p>\n

To reduce risk to to the development and maturation of artificial intelligence capabilities, the\u00a0Air Force Research Laboratory<\/a><\/strong>\u00a0led a successful three-hour sortie<\/a><\/strong>, July 25, demonstrating the first flight of AFRL-developed, machine-learning trained, artificial intelligence algorithms on an\u00a0XQ-58A Valkyrie<\/a><\/strong>.<\/p>\n

Test units executed the flight in the Eglin Test and Training Complex. The flight builds upon four years of partnership that began with the Skyborg<\/strong><\/a> Vanguard and the Autonomous Aircraft Experimentation (AAx) programs.
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\u201cThe mission proved out a multi-layer safety framework on an AI\/ML-flown uncrewed aircraft and demonstrated an AI\/ML agent solving a tactically relevant \u201cchallenge problem\u201d during airborne operations,\u201d said Col. Tucker Hamilton, DAF AI Test and Operations chief. \u201cThis sortie officially enables the ability to develop AI\/ML agents that will execute modern air-to-air and air-to-surface skills that are immediately transferrable to other autonomy programs.\u201d
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The algorithms were developed by AFRL\u2019s Autonomous Air Combat Operations team. The algorithms matured during millions of hours in high fidelity simulation events, sorties on the X-62 VISTA<\/strong><\/a>, Hardware-in-the-Loop events with the XQ-58A and ground test operations. <\/p>\n

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\u201cAACO has taken a multi-pronged approach to uncrewed flight testing of machine learning Artificial Intelligence and has met operational experimentation objectives by using a combination of High-performance computing, modeling and simulation, and hardware in the loop testing to train an AI agent to safely fly the XQ-58 uncrewed aircraft,\u201d said AACO Program Manager, Dr. Terry Wilson.
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The Department of Defense<\/strong><\/a> is committed to the responsible employment of AI. To achieve responsible use of AI requires teaming of developers and users of AI enabled autonomy working in collaboration with acquisition specialists.
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\u201cAI will be a critical element to future warfighting and the speed at which we\u2019re going to have to understand the operational picture and make decisions,\u201d said\u00a0Brig. Gen. Scott Cain<\/strong><\/a>, AFRL commander. \u201cAI, Autonomous Operations, and Human-Machine Teaming<\/a><\/strong> continue to evolve at an unprecedented pace and we need the coordinated efforts of our government, academia and industry partners to keep pace.\u201d<\/p>\n

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U.S. Air Force Logo<\/title><\/p><\/div>\n<\/section><\/div>\n<\/p><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>WRIGHT-PATTERSON AIR FORCE BASE, Ohio (AFNS) — \u00a0 To reduce risk to to the development and maturation of artificial intelligence capabilities, the\u00a0Air Force Research Laboratory\u00a0led a successful three-hour sortie, July 25, demonstrating the first flight of AFRL-developed, machine-learning trained, artificial intelligence algorithms on an\u00a0XQ-58A Valkyrie. Test units executed the flight in the Eglin Test and […]<\/p>\n","protected":false},"author":3,"featured_media":21605,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-21603","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/adn.monetizemail.com\/index.php?rest_route=\/wp\/v2\/posts\/21603","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/adn.monetizemail.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/adn.monetizemail.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/adn.monetizemail.com\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/adn.monetizemail.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=21603"}],"version-history":[{"count":2,"href":"https:\/\/adn.monetizemail.com\/index.php?rest_route=\/wp\/v2\/posts\/21603\/revisions"}],"predecessor-version":[{"id":21606,"href":"https:\/\/adn.monetizemail.com\/index.php?rest_route=\/wp\/v2\/posts\/21603\/revisions\/21606"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/adn.monetizemail.com\/index.php?rest_route=\/wp\/v2\/media\/21605"}],"wp:attachment":[{"href":"https:\/\/adn.monetizemail.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=21603"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/adn.monetizemail.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=21603"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/adn.monetizemail.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=21603"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}