{"id":829253,"date":"2025-02-23T13:12:11","date_gmt":"2025-02-23T19:12:11","guid":{"rendered":"https:\/\/newsycanuse.com\/index.php\/2025\/02\/23\/chinas-deepseek-ai-signals-faster-path-to-space-autonomy\/"},"modified":"2025-02-23T13:12:11","modified_gmt":"2025-02-23T19:12:11","slug":"chinas-deepseek-ai-signals-faster-path-to-space-autonomy","status":"publish","type":"post","link":"https:\/\/newsycanuse.com\/index.php\/2025\/02\/23\/chinas-deepseek-ai-signals-faster-path-to-space-autonomy\/","title":{"rendered":"China\u2019s DeepSeek AI signals faster path to space autonomy"},"content":{"rendered":"
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A panel of artificial intelligence experts explored DeepSeek\u2019s impact on the sector Jan. 30 during the SpaceCom conference in Orlando, Florida. Left to right: RGNext business solutions architect Thomas Ste. Marie, ASRC Federal technologist fellow Isaac Passmore, Martian Sky Industries CEO Douglas Marsh and moderator Adam Harris, director of government programs at Alluvionic. Credit:<\/span> Jason Rainbow \/ SpaceNews<\/span><\/span><\/figcaption><\/figure>\n
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ORLANDO, Fla. \u2014 The emergence of China\u2019s DeepSeek has shaken up the artificial intelligence sector, promising new opportunities for space companies beginning to explore ways to leverage AI in space.<\/p>\n

AI is seen as key to unlocking true autonomy in orbit<\/a> and managing an increasingly congested space domain. Yet, while satellite operators like Loft Orbital are making strides<\/a> to integrate AI into their operations, widespread adoption across the industry remains in its early stages.<\/p>\n

Enter DeepSeek, which claims to achieve high performance with significantly lower computational demands than other generative AI \u2014 a category of deep-learning models that analyze vast datasets to generate content, answer questions and infer likely outcomes based on learned patterns.<\/p>\n

This efficiency is a critical advantage for space applications, where bandwidth and onboard processing power are limited. Notably, DeepSeek is open source, positioning it as a potential catalyst for broader AI innovation.<\/p>\n

Details are still emerging, but if DeepSeek can run efficiently on devices at the edge of a network, or within smaller models, it could make real-time AI decision-making more feasible for autonomous satellites, deep-space exploration and other resource-constrained environments.<\/p>\n

China\u2019s Sputnik moment<\/strong><\/p>\n

Major innovations such as DeepSeek could help increase space autonomy, said Douglas Marsh, CEO of Martian Sky Industries, which is leveraging AI to develop orbital debris mitigation technology.<\/p>\n

\u201cIf you can get systems that are talking to each other \u2014 that are trained and have some sort of wrapper around them that\u2019s essentially defining what they\u2019re looking at, what they do, and what they process \u2014 you can begin to further automate systems,\u201d Marsh said Jan. 30 on the sidelines of the SpaceCom conference here.<\/p>\n

He said Martian Sky Industries has no plans to use DeepSeek itself to advance space AI, amid national security and privacy concerns, but anticipates that a U.S.-based counterpart will be brought to market soon. NASA has also banned the use of DeepSeek<\/a> within the agency.<\/p>\n

While DeepSeek is not more capable than other generative AI platforms, its main breakthrough lies in the apparent speed at which it was trained to compete with them.<\/p>\n

\u201cIt means that you can solve problems faster,\u201d said Isaac Passmore, technologist fellow at U.S. government contractor ASRC Federal.<\/p>\n

Speaking on a SpaceCom panel, Passmore predicted more frequent \u201cDeepSeek moments\u201d that disrupt the AI landscape, with the next likely to happen within 18 months.<\/p>\n<\/p><\/div>\n

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\n\t\t\t\t\t\t\tJason Rainbow writes about satellite telecom, finance and commercial markets for SpaceNews. He has spent more than a decade covering the global space industry as a business journalist. Previously, he was Group Editor-in-Chief for Finance Information Group,…\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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A panel of artificial intelligence experts explored DeepSeek\u2019s impact on the sector Jan. 30 during the SpaceCom conference in Orlando, Florida. Left to right: RGNext business solutions architect Thomas Ste. Marie, ASRC Federal technologist fellow Isaac Passmore, Martian Sky Industries CEO Douglas Marsh and moderator Adam Harris, director of government programs at Alluvionic. Credit: Jason<\/p>\n","protected":false},"author":1,"featured_media":829254,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22042,141198],"tags":[5454,141961],"class_list":{"0":"post-829253","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-chinas","8":"category-deepseek","9":"tag-chinas","10":"tag-deepseek"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts\/829253","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/comments?post=829253"}],"version-history":[{"count":0,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/posts\/829253\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/media\/829254"}],"wp:attachment":[{"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/media?parent=829253"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/categories?post=829253"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/newsycanuse.com\/index.php\/wp-json\/wp\/v2\/tags?post=829253"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}