{"id":6157,"date":"2024-09-27T12:30:09","date_gmt":"2024-09-27T12:30:09","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=6157"},"modified":"2024-10-16T20:32:56","modified_gmt":"2024-10-16T20:32:56","slug":"award-winning-algorithm-revolutionizes-earth-science","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/award-winning-algorithm-revolutionizes-earth-science\/","title":{"rendered":"Award-Winning Algorithm Revolutionizes Earth Science"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">Georgia Tech\u2019s Austin P. Wright unveiled Nested Fusion, an innovative algorithm initially used by NASA\u2019s Perseverance rover to search for signs of past life on Mars. Now, it&#8217;s poised to revolutionize the way we forecast hurricanes, wildfires and study climate patterns on Earth.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-0dfbf163 wp-block-group-is-layout-flex\"><div style=\"font-size:16px;\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p>A groundbreaking algorithm, Nested Fusion, first tested on NASA\u2019s Perseverance Rover on Mars, has the potential to revolutionize our understanding of extreme weather events and climate patterns here on Earth. Developed by Georgia Tech doctoral student Austin P. Wright, Nested Fusion&#8217;s innovative approach was a runner-up for the best paper award at the prestigious 2024 International Conference on Knowledge Discovery and Data Mining (KDD 2024).<\/p>\n\n\n\n<p>\u201cNested Fusion is really useful for researchers in many different domains, not just NASA scientists,\u201d Wright said in a <a href=\"https:\/\/research.gatech.edu\/award-winning-algorithm-used-mars-rover-helps-scientists-earth-see-data-new-way\">news release<\/a>. \u201cThe method visualizes complex datasets that can be difficult to get an overall view of during the initial exploratory stages of analysis.\u201d<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Nested Fusion\u2019s primary function is to combine datasets with different resolutions into a single, high-resolution visual distribution. This approach permits NASA scientists to analyze multiple datasets from various sources concurrently, significantly enhancing the efficiency of studying Mars\u2019 surface composition for signs of previous life.<\/p>\n\n\n\n<p>The algorithm&#8217;s utility isn&#8217;t confined to space exploration. Scientists across various fields can apply Nested Fusion\u2019s methods to manage large, overlapping datasets, fueling advances in earth sciences such as climate modeling, plant and animal studies, and more.<\/p>\n\n\n\n<p>Wright shared that users have begun integrating Nested Fusion into earth science contexts, merging satellite imagery, biomarkers and climate data. This synthesis is expected to accelerate the predictive capabilities for hurricanes, wildfires and other weather phenomena.<\/p>\n\n\n\n<p>\u201cCross-correlational analysis takes a long time to do and is not done in the initial stages of research when patterns appear and form new hypotheses,\u201d Wright added. \u201cNested Fusion enables people to discover these patterns much earlier.\u201d<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Wright\u2019s leadership in data science and machine learning extends further within NASA\u2019s Mars 2020 mission. As the data science and ML lead for PIXLISE software, Wright works closely with NASA Jet Propulsion Laboratory scientists to study data from the Perseverance Rover. The rover&#8217;s Planetary Instrument for X-ray Lithochemistry (PIXL) comprises an X-ray Fluorescence (XRF) Spectrometer and a Multi-Context Camera (MCC), which generate co-aligned datasets critical for analyzing Martian targets.<\/p>\n\n\n\n<p>This innovation simplifies a previously labor-intensive process. NASA scientists, using Nested Fusion, now estimate a sample\u2019s mineral composition in hours \u2014 a task that once demanded days of collaborative effort among specialized teams.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>\u201cI was extremely happy that this work was recognized with the best paper runner-up award,\u201d added Wright. \u201cThis kind of applied work can sometimes be hard to find the right academic home, so finding communities that appreciate this work is very encouraging.\u201d<\/p>\n\n\n\n<p>Presented at KDD 2024 in Barcelona, Spain, the Nested Fusion algorithm was honored among over 150 papers in the applied data science track, underscoring its significant contributions to the field.<\/p>\n\n\n\n<p>Wright\u2019s innovative work demonstrates the profound impact of data science on traditional scientific disciplines, setting a new standard for future research and applications on Earth and beyond.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A groundbreaking algorithm, Nested Fusion, first tested on NASA\u2019s Perseverance Rover on Mars, has the potential to revolutionize our understanding of extreme weather events and climate patterns here on Earth. Developed by Georgia Tech doctoral student Austin P. Wright, Nested Fusion&#8217;s innovative approach was a runner-up for the best paper award at the prestigious 2024 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[8],"tags":[],"class_list":["post-6157","post","type-post","status-publish","format-standard","hentry","category-ai"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"A groundbreaking algorithm, Nested Fusion, first tested on NASA\u2019s Perseverance Rover on Mars, has the potential to revolutionize our understanding of extreme weather events and climate patterns here on Earth. Developed by Georgia Tech doctoral student Austin P. Wright, Nested Fusion&#8217;s innovative approach was a runner-up for the best paper award at the prestigious 2024&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/6157","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=6157"}],"version-history":[{"count":11,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/6157\/revisions"}],"predecessor-version":[{"id":6268,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/6157\/revisions\/6268"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=6157"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=6157"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=6157"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}