{"id":4487,"date":"2025-07-13T00:05:33","date_gmt":"2025-07-13T00:05:33","guid":{"rendered":"https:\/\/techtrendfeed.com\/?p=4487"},"modified":"2025-07-13T00:05:33","modified_gmt":"2025-07-13T00:05:33","slug":"a-gaming-gpu-helps-crack-the-code-on-a-thousand-12-months-cultural-dialog","status":"publish","type":"post","link":"https:\/\/techtrendfeed.com\/?p=4487","title":{"rendered":"A Gaming GPU Helps Crack the Code on a Thousand-12 months Cultural Dialog"},"content":{"rendered":"

\n<\/p>\n

\n\t\t <\/span><\/p>\n

Ceramics \u2014 the standard mixture of earth, fireplace and artistry \u2014 have been a part of a world dialog for millennia.<\/p>\n

From Tang Dynasty commerce routes to Renaissance palaces, from museum vitrines to high-stakes public sale flooring, they\u2019ve carried tradition throughout borders, evolving into standing symbols, commodities and items of contested historical past. Their worth has been formed by aesthetics and economics, empire and, now, know-how.<\/p>\n

This determine visualizes 20 consultant Chinese language ceramic craftsmanship kinds throughout seven historic durations, starting from the Tang Dynasty (618\u2013907 AD) to the Fashionable period (1913\u20132025). These kinds, together with kiln-specific classes and ornamental methods, had been chosen for his or her historic significance and visible distinctiveness for the AI\u2019s coaching dataset. Courtesy of Yanfeng Hu, Siqi Wu, Zhuoran Ma and Si Cheng.<\/figcaption><\/figure>\n
In a lab at College Putra Malaysia, that legacy meets silicon. Researchers there, alongside colleagues at UNSW Sydney<\/a>, have constructed an AI system that may classify Chinese language ceramics and predict their worth with uncanny precision. The device makes use of deep studying to research ornamental motifs, shapes and kiln-specific craftsmanship. It predicts value classes primarily based on actual public sale information from establishments like Sotheby\u2019s and Christie\u2019s, attaining take a look at accuracy as excessive as 99%.<\/p>\n
$\"\"$
Past kind, the AI additionally analyzes the intricate ornamental patterns discovered on Chinese language ceramics, that are organized into six main classes: plant patterns, animal motifs, landscapes, human figures, crackled glaze patterns and geometric designs. The system annotates photographs on the class stage primarily based on probably the most visually dominant sample sorts. Courtesy of Yanfeng Hu, Siqi Wu, Zhuoran Ma, and Si Cheng.<\/figcaption><\/figure>\n
It\u2019s all powered by an NVIDIA GeForce RTX 3090, a consumer-grade GPU beloved by players, explains Siqi Wu, one of many researchers behind the undertaking. Not a knowledge middle, not specialised industrial {hardware}, simply the identical chip pushing body charges for players having fun with Cyberpunk 2077<\/i> and *Alan Wake 2<\/i> the world over.<\/p>\n*
*The motivation is as outdated because the commerce routes these ceramics as soon as traveled: entry, however on this case, entry to experience moderately than materials items.<\/p>\n*
$\"\"$
The AI system employs a typological classification system for ceramic vessel shapes, primarily based on modular morphological components just like the bottle neck, deal with, shoulder, spout, physique and base. This method permits for detailed evaluation and classification of shapes akin to bottles, jars, plates, bowls, cups, pots and washbasins. Courtesy of Yanfeng Hu, Siqi Wu, Zhuoran Ma and Si Cheng.<\/figcaption><\/figure>\n
\u201cArtifact pricing and relationship nonetheless closely depend on professional judgment,\u201d Wu stated. That experience stays elusive for youthful collectors, smaller establishments and digital archive tasks. Wu\u2019s workforce goals to vary that by making cultural appraisal extra goal, scalable and accessible to a wider viewers.<\/p>\n
It doesn\u2019t cease at classification. The system pairs its YOLOv11-based detection mannequin with an algorithm that discovered market worth straight from years of real-world public sale outcomes. In a single take a look at, the AI assessed a Ming Dynasty artifact at roughly 30% beneath its ultimate hammer value. It\u2019s a reminder that even in an business steeped in custom, algorithms can supply new views.<\/p>\n
These views don\u2019t simply quantify heritage, they prolong the dialog. The workforce is already exploring AI for different types of cultural visible heritage, from Cantonese opera costumes to historic murals.<\/p>\n
For now, a graphics card constructed for gaming is parsing centuries of workmanship and getting into one of many world\u2019s oldest and most world debates: what makes one thing beneficial?<\/p>\n<\/p><\/div>\n\n","protected":false},"excerpt":{"rendered":"
Ceramics \u2014 the standard mixture of earth, fireplace and artistry \u2014 have been a part of a world dialog for millennia. From Tang Dynasty commerce routes to Renaissance palaces, from museum vitrines to high-stakes public sale flooring, they\u2019ve carried tradition throughout borders, evolving into standing symbols, commodities and items of contested historical past. Their worth […]<\/p>\n","protected":false},"author":2,"featured_media":4489,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[55],"tags":[977,4008,1010,4007,748,2536,4005,4006],"class_list":["post-4487","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machine-learning","tag-code","tag-conversation","tag-crack","tag-cultural","tag-gaming","tag-gpu","tag-helps","tag-thousandyear"],"_links":{"self":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/4487","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4487"}],"version-history":[{"count":1,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/4487\/revisions"}],"predecessor-version":[{"id":4488,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/4487\/revisions\/4488"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/media\/4489"}],"wp:attachment":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4487"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4487"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4487"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

This determine visualizes 20 consultant Chinese language ceramic craftsmanship kinds throughout seven historic durations, starting from the Tang Dynasty (618\u2013907 AD) to the Fashionable period (1913\u20132025). These kinds, together with kiln-specific classes and ornamental methods, had been chosen for his or her historic significance and visible distinctiveness for the AI\u2019s coaching dataset. Courtesy of Yanfeng Hu, Siqi Wu, Zhuoran Ma and Si Cheng.<\/figcaption><\/figure>\n
In a lab at College Putra Malaysia, that legacy meets silicon. Researchers there, alongside colleagues at UNSW Sydney<\/a>, have constructed an AI system that may classify Chinese language ceramics and predict their worth with uncanny precision. The device makes use of deep studying to research ornamental motifs, shapes and kiln-specific craftsmanship. It predicts value classes primarily based on actual public sale information from establishments like Sotheby\u2019s and Christie\u2019s, attaining take a look at accuracy as excessive as 99%.<\/p>\n
$\"\"$
Past kind, the AI additionally analyzes the intricate ornamental patterns discovered on Chinese language ceramics, that are organized into six main classes: plant patterns, animal motifs, landscapes, human figures, crackled glaze patterns and geometric designs. The system annotates photographs on the class stage primarily based on probably the most visually dominant sample sorts. Courtesy of Yanfeng Hu, Siqi Wu, Zhuoran Ma, and Si Cheng.<\/figcaption><\/figure>\n
It\u2019s all powered by an NVIDIA GeForce RTX 3090, a consumer-grade GPU beloved by players, explains Siqi Wu, one of many researchers behind the undertaking. Not a knowledge middle, not specialised industrial {hardware}, simply the identical chip pushing body charges for players having fun with Cyberpunk 2077<\/i> and *Alan Wake 2<\/i> the world over.<\/p>\n*
*The motivation is as outdated because the commerce routes these ceramics as soon as traveled: entry, however on this case, entry to experience moderately than materials items.<\/p>\n*
$\"\"$
The AI system employs a typological classification system for ceramic vessel shapes, primarily based on modular morphological components just like the bottle neck, deal with, shoulder, spout, physique and base. This method permits for detailed evaluation and classification of shapes akin to bottles, jars, plates, bowls, cups, pots and washbasins. Courtesy of Yanfeng Hu, Siqi Wu, Zhuoran Ma and Si Cheng.<\/figcaption><\/figure>\n
\u201cArtifact pricing and relationship nonetheless closely depend on professional judgment,\u201d Wu stated. That experience stays elusive for youthful collectors, smaller establishments and digital archive tasks. Wu\u2019s workforce goals to vary that by making cultural appraisal extra goal, scalable and accessible to a wider viewers.<\/p>\n
It doesn\u2019t cease at classification. The system pairs its YOLOv11-based detection mannequin with an algorithm that discovered market worth straight from years of real-world public sale outcomes. In a single take a look at, the AI assessed a Ming Dynasty artifact at roughly 30% beneath its ultimate hammer value. It\u2019s a reminder that even in an business steeped in custom, algorithms can supply new views.<\/p>\n
These views don\u2019t simply quantify heritage, they prolong the dialog. The workforce is already exploring AI for different types of cultural visible heritage, from Cantonese opera costumes to historic murals.<\/p>\n
For now, a graphics card constructed for gaming is parsing centuries of workmanship and getting into one of many world\u2019s oldest and most world debates: what makes one thing beneficial?<\/p>\n<\/p><\/div>\n\n","protected":false},"excerpt":{"rendered":"
Ceramics \u2014 the standard mixture of earth, fireplace and artistry \u2014 have been a part of a world dialog for millennia. From Tang Dynasty commerce routes to Renaissance palaces, from museum vitrines to high-stakes public sale flooring, they\u2019ve carried tradition throughout borders, evolving into standing symbols, commodities and items of contested historical past. Their worth […]<\/p>\n","protected":false},"author":2,"featured_media":4489,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[55],"tags":[977,4008,1010,4007,748,2536,4005,4006],"class_list":["post-4487","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machine-learning","tag-code","tag-conversation","tag-crack","tag-cultural","tag-gaming","tag-gpu","tag-helps","tag-thousandyear"],"_links":{"self":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/4487","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4487"}],"version-history":[{"count":1,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/4487\/revisions"}],"predecessor-version":[{"id":4488,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/4487\/revisions\/4488"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/media\/4489"}],"wp:attachment":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4487"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4487"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4487"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}