{"id":14487,"date":"2022-04-06T05:30:00","date_gmt":"2022-04-06T02:30:00","guid":{"rendered":"https:\/\/www.razor-labs.com\/el-instituto-gemologico-de-america-y-razor-labs-llevan-una-solucion-avanzada-de-ia-a-la-clasificacion-de-diamantes\/"},"modified":"2025-09-09T13:54:40","modified_gmt":"2025-09-09T10:54:40","slug":"el-instituto-gemologico-de-america-y-razor-labs-llevan-una-solucion-avanzada-de-ia-a-la-clasificacion-de-diamantes","status":"publish","type":"post","link":"https:\/\/www.razor-labs.com\/es\/el-instituto-gemologico-de-america-y-razor-labs-llevan-una-solucion-avanzada-de-ia-a-la-clasificacion-de-diamantes\/","title":{"rendered":"El Instituto Gemol\u00f3gico de Am\u00e9rica y Razor Labs llevan una soluci\u00f3n avanzada de IA a la clasificaci\u00f3n de diamantes."},"content":{"rendered":"\t\t
TEL AVIV-Israel \u2013 April 6th, Razor Labs<\/a> (TASE: RZR) and GIA<\/a>, the Gemological Institute of America, announced today that they have developed a system to apply artificial intelligence (AI) to the crucial task of determining a diamond\u2019s shape and cutting style.\u00a0<\/p>\n Working closely with GIA, Razor Labs developed an AI algorithm in just six months to power the system that achieved 99% accuracy in predicting diamond shape and cutting style.<\/p>\n GIA\u2019s large, diverse dataset of real-world examples and expert shape determinations from experienced diamond graders provided the ideal foundation for training the Razor Labs\u2019 algorithm. Together they refined the training with detailed shape definitions and mathematical rules to further boost the AI\u2019s accuracy. The system is now being tested in GIA laboratories in diamond centers around the world.\u00a0<\/p>\n \u201cAs GIA introduces more automation into its grading process, this is an important remaining component that has become more challenging to classify,\u201d said Tom Moses<\/strong>, GIA executive vice president and chief laboratory and research officer. \u201cThe introduction of more varieties of fancy shapes and cutting styles made this an important initiative to complete.\u201d<\/p>\n Largely unaddressed by automation until now, this critical step offers an excellent opportunity for further application of AI to GIA\u2019s industry-leading diamond grading.<\/p>\n There are more than a dozen standard diamond shapes beyond the instantly recognizable round, including oval, pear, marquise and less frequently seen shapes such as briolette and shield. Adding recognized modifications for those standard shapes brings the number of possible shape determinations to nearly 40.<\/p>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t \u201cGIA is moving ever closer to making diamond grading as automated as possible,\u201d said Pritesh Patel<\/strong><\/a>, GIA chief operating officer. \u201cWhether applied to the complexity of determining a diamond\u2019s color and clarity grades or identifying a diamond\u2019s shape, GIA is using AI to dramatically advance diamond grading efficiency and consistency.\u201d<\/p>\n Michael Zolotov<\/strong><\/a>, Razor Labs CTO explained how the AI algorithm works: \u201cTo achieve these impressive results, we chose the best neural network architecture for the task and trained it with a carefully prepared dataset drawn from the tens of millions of diamonds examined by GIA. After training and optimizing hyper-parameters, we obtained a combination of networks that can extract and identify the specific visual features that define each diamond\u2019s shape and cutting style and classify them correctly \u2013 even in borderline cases.\u201d<\/p>\n\t\t\t\t\t\t\t\t\t\t\t
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How it works<\/strong><\/h2>\n