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<oembed><version>1.0</version><provider_name>iRAP</provider_name><provider_url>https://irap.org/pt</provider_url><title>Omdena Challenge collaborators share results</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="zCv3xVPFf1"&gt;&lt;a href="https://irap.org/pt/omdena-challenge-collaborators-share-results/"&gt;Os colaboradores do Desafio Omdena compartilham os resultados.&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://irap.org/pt/omdena-challenge-collaborators-share-results/embed/#?secret=zCv3xVPFf1" width="600" height="338" title="&#x201C;Colaboradores do Desafio Omdena compartilham resultados&#x201D; &#x2014; iRAP" data-secret="zCv3xVPFf1" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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&lt;/script&gt;</html><thumbnail_url>https://irap.org/wp-content/uploads/2026/04/Omdena.jpg</thumbnail_url><thumbnail_width>817</thumbnail_width><thumbnail_height>613</thumbnail_height><description>Collaborators on the Omdena iRAP 8 Week Challenge which aimed to crowd source AI-based solutions to map crash risk and generate iRAP star rating attribute data have shared some of their publication results. Earlier this year, 50 AI and machine learning experts including aspiring students, data scientists, ML and data engineers, and domain experts from [&hellip;]</description></oembed>
