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	<title>Portrait of a Girl &#8211; BIOENGINEER.ORG</title>
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		<title>Explainable AI learns to spot the hidden patterns of a Rembrandt</title>
		<link>https://bioengineer.org/explainable-ai-learns-to-spot-the-hidden-patterns-of-a-rembrandt/</link>
		
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		<pubDate>Mon, 26 Oct 2026 23:58:44 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[art attribution]]></category>
		<category><![CDATA[art authentication]]></category>
		<category><![CDATA[art history]]></category>
		<category><![CDATA[Arthur Wheelock]]></category>
		<category><![CDATA[Carnegie Mellon University]]></category>
		<category><![CDATA[Computer Vision]]></category>
		<category><![CDATA[Explainable AI]]></category>
		<category><![CDATA[Human-AI Collaboration]]></category>
		<category><![CDATA[Machine Learning]]></category>
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		<category><![CDATA[Portrait of a Girl]]></category>
		<category><![CDATA[Rembrandt]]></category>
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					<description><![CDATA[Carnegie Mellon researchers developed an explainable AI framework, published in PNAS, that scores paintings for statistical patterns associated with Rembrandt, achieving 95.8 percent accuracy when highly confident, and gave an 84.7 percent confidence reading for the Portrait of a Girl discovered in Maine.]]></description>
		
		
		
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