[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-119944-en":3,"doc-seo-119944-105":30,"detail-sidebar-cat-0-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},119944,4398048949847,"Eliana","https://ap-avatar.wpscdn.com/avatar/400002536579ef2da7f?_k=1778318612642679267",8,"Research & Report","A Short Review on Machine Learning in Space Science and Exploration","Machine learning is positioned as a transformative force in space science and exploration, addressing the challenge of massive, complex datasets generated by modern sky surveys and missions. The review highlights practical impacts from autonomous navigation and AI-assisted discovery to monitoring systems and astro-robot development. It discusses how ML helps extract patterns, improve dataset quality by removing redundancies, and accelerate analysis for more efficient mission planning. The future direction emphasizes leveraging ML to unlock cosmic insights and broaden access to space exploration.","A Short Review on Machine Learning in Space Science and  \nExploration  \nManas Biswal M*  \nUG Researcher, Department of Computer Science and Engineering, University College of Engineering  \nVillupuram, Villupuram India-605103  \nORCID: 0009-0008-5207-0867  \nAbstract: Machine learning is revolutionizing space exploration by tackling massive datasets, empowering astronauts, and driving scientific breakthroughs. From Deep Space 1's autonomous navigation to the James Webb Space Telescope's AI-assisted exoplanet discovery, Machine learning is transforming the present and shaping the future. With missions like NASA's Parker Solar Probe and the development of AI-powered monitoring systems and astro robots, the possibilities for unravelling the cosmos and democratizing space exploration are limitless. The future of space exploration lies in harnessing the power of ML to unlock the universe's secrets and make them accessible to all.  \nTable of Contents  \n1. Introduction ......................................................................................................................................................... 1  \n2. Historical Context of Machine Learning in Space Exploration .......................................................................... 1  \n3. Earlier Applications of Machine Learning in Space Exploration........................................................................ 2  \n4. Current Impact of Machine Learning in Space Exploration ............................................................................... 2  \n5. Future Role of Machine Learning in Advancing Space Exploration .................................................................. 2  \n6. Conclusion .......................................................................................................................................................... 3  \n7. References ........................................................................................................................................................... 3  \n8. Biography............................................................................................................................................................ 3  \n9. Acknowledgement .............................................................................................................................................. 4  \n10. Conflict of Interest ....................................................................................................................................... 4  \n11. Funding & Paper Information ...................................................................................................................... 4  \n1. Introduction  \nIn the vast realm of space discovery,  \nobservations is reaching astronomical  \nthe amount of data collected from new sky surveys and ground-based proportions. Here's where the challenge kicks in—how do we efficiently  \nmake sense of this cosmic information overload? Enter Machine Learning (ML), a kind of smart tech that helps us navigate through this cosmic sea of data. Think of Machine Learning as a cosmic detective, armed with algorithms that can analyse complex space data in ways that were once beyond our traditional methods. It's like having a high-tech assistant that not only speeds up the process but also discovers patterns and insights buried in the cosmic noise.  \nAstronomy is going through a data revolution, and with that, both opportunities and challenges arise. Traditional research methods are getting a makeover, and Machine Learning is at the forefront of this cosmic transformation. ML isn't just about fancy algorithms; it's the key to unlocking the mysteries hidden in the vast datasets generated by the universe. It's a dynamic duo where people power meets cutting-edge technology, creating a unique synergy that not only advances scientific understanding but also makes the wonders of space accessible to everyone. This blend of citizen science and Ma","cbCairZiBvLmHhy2","https://ap.wps.com/l/cbCairZiBvLmHhy2","pdf",447184,1,4,"English","en",105,"# 1. Introduction\n# 2. Historical Context of Machine Learning in Space Exploration\n# 3. Earlier Applications of Machine Learning in Space Exploration\n# 4. Current Impact of Machine Learning in Space Exploration\n# 5. Future Role of Machine Learning in Advancing Space Exploration\n# 6. Conclusion\n# 7. References\n# 8. Biography\n# 9. Acknowledgement\n# 10. Conflict of Interest\n# 11. Funding & Paper Information","[{\"question\":\"Why is machine learning important in space science and exploration?\",\"answer\":\"It helps handle the rapidly growing volume of astronomical data, turning complex observations into actionable patterns and insights. This improves analysis efficiency and supports scientific discovery.\"},{\"question\":\"What role does machine learning play in earlier and current space missions?\",\"answer\":\"The document points to AI-driven capabilities such as autonomous navigation and AI-assisted exoplanet discovery. It also notes monitoring systems and related technologies that support modern mission workflows.\"},{\"question\":\"How does the review describe the future of machine learning in space exploration?\",\"answer\":\"Future progress depends on harnessing ML to unlock the universe’s secrets more effectively. The goal is to make these discoveries more accessible through advanced, data-driven approaches.\"}]","A Short Review on Machine Learning in Space Science and Exploration | PDF",1785727124,10,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":85,"head_meta":87,"extra_data":89,"updated_unix":28},"a-short-review-on-machine-learning-in-space-science-and-exploration","",{"@graph":36,"@context":84},[37,53,67],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":21},"https://docshare.wps.com/document/a-short-review-on-machine-learning-in-space-science-and-exploration/119944/",{"url":52,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":23,"description":14,"dateModified":61,"datePublished":61,"encodingFormat":60,"isAccessibleForFree":62,"interactionStatistic":63},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":41,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":64,"interactionType":65,"userInteractionCount":4},"InteractionCounter",{"@type":66},"ViewAction",{"@type":68,"mainEntity":69},"FAQPage",[70,76,80],{"name":71,"@type":72,"acceptedAnswer":73},"Why is machine learning important in space science and exploration?","Question",{"text":74,"@type":75},"It helps handle the rapidly growing volume of astronomical data, turning complex observations into actionable patterns and insights. This improves analysis efficiency and supports scientific discovery.","Answer",{"name":77,"@type":72,"acceptedAnswer":78},"What role does machine learning play in earlier and current space missions?",{"text":79,"@type":75},"The document points to AI-driven capabilities such as autonomous navigation and AI-assisted exoplanet discovery. It also notes monitoring systems and related technologies that support modern mission workflows.",{"name":81,"@type":72,"acceptedAnswer":82},"How does the review describe the future of machine learning in space exploration?",{"text":83,"@type":75},"Future progress depends on harnessing ML to unlock the universe’s secrets more effectively. 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